Job requirements

As a Forward Deployed Engineer (FDE), you sit at the intersection of our technology and our customers’ hardest problems. Working in small teams with a high degree of ownership, you will deploy, build on, and operationalize First Alert inside customer environments — many of them defense, national security, and NATO-aligned organizations across Europe. Projects often begin with an open-ended operational question, and it is your job to translate that into a working solution that gives operators decision advantage in real time.

A defining part of this role is building on Palantir Foundry. You will design data pipelines, ontologies, and applications in Foundry that fuse Dataminr’s real-time intelligence with the customer’s own operational data — sensor feeds, asset and troop locations, and mission context — then own that solution end to end, from first whiteboard sketch to a system operators rely on in the field or the operations center. Your week might span debugging infrastructure and networking issues, discussing data architecture with fellow engineers, integrating Dataminr APIs, and sitting with customer stakeholders to shape what to build next.

AI Innovation at Dataminr 

Working at Dataminr you’ll have the opportunity to tackle the most exciting trends in AI on a daily basis to power a revolutionary product that uncovers critical events around the world as they unfold.

Regenerative AI: our AI technology, ReGenAI, is a new form of generative AI that automatically regenerates real-time Live Event Briefs as events unfold. Learn more here.

Agentic AI: we recently launched our Agentic AI capability, what we’re calling our Intel Agents, that autonomously generates critical context for our clients on real-time events, threats, and risks allowing them to see the clearest, most accurate view of what’s happening on the ground. Learn more here

Multimodal AI: our platform detects events from many different types of data (images, video, sensor data, audio, and text in over 150 languages). Learn more here.

The opportunity

• Partner directly with defense and security customers to understand their highest-priority situational awareness and force protection problems, then scope solutions against them.
• Design, build, and deploy solutions on Palantir Foundry that operationalize First Alert — including data pipelines, ontology models, and operator-facing applications.
• Integrate Dataminr’s real-time intelligence into customer workflows, common operating pictures, and existing command-and-control tooling, ensuring users with disparate information requirements across the organization are receiving mission-relevant information.
• Build and fine-tune custom widgets where needed to enable customers to best operationalize real-time intelligence.
• Own solutions end to end, working with minimal supervision and making sound technical decisions independently.
• Debug across the full stack — infrastructure, networking, and application layers — often in restricted, disconnected, or on-premise environments.
• Act as a trusted technical advisor to customer engineers and operators, and channel their feedback back into the Dataminr product.
• Travel to customer sites and operations centers across Europe as needed (approximately 25–75% of the time).

What you bring

At Dataminr, we value you for who you are. We encourage you to apply for this role, even if you don’t meet every qualification. Our candidates are reviewed on the basis of their skill and potential to succeed.

• A strong engineering background, ideally in Computer Science, Software Engineering, Mathematics, Physics, or a related technical field.
• Palantir Foundry expertise: hands-on experience building on Palantir Foundry — data pipelines, ontology, Compute Modules, Code Repositories / Workbooks, and application development. This is a core requirement for the role.
• Programming: proficiency in one or more of Python, Java, SQL, TypeScript/JavaScript, Bash, or Go.
• Dataminr architecture & use cases: the ability to quickly understand the Dataminr platform architecture, data model, and First Alert defense and public sector use cases, and to reason about how technical decisions affect the operator.
• 3+ years of professional software engineering or forward-deployed / solutions engineering experience delivering production systems.
• Infrastructure: familiarity with containers (Docker / Podman) and orchestration (Kubernetes / OpenShift), plus solid Linux, networking, and on-premise infrastructure fundamentals.
• Demonstrated ability to collaborate with both technical and non-technical stakeholders and to thrive in a fast-changing environment with iterative, mission-driven objectives.
• NATO Secret clearance: an active NATO Secret security clearance, or eligibility and willingness to obtain one. This is a requirement for the role.
• Willingness to travel approximately 25–75% and to work on-site in secure customer facilities.

Nice to have

• Experience deploying software in classified, air-gapped, or otherwise restricted / disconnected environments.
• Background supporting defense, intelligence, national security, or emergency-management operations.
• Familiarity with geospatial platforms and a common operating picture (e.g., Esri / ArcGIS) or command-and-control systems.
• Experience with front-end frameworks and building data-rich, operator-facing applications.
• Understanding of NATO or national defense customer environments and their accreditation and compliance requirements.
• Proficiency in an additional European language.

Every year, hundreds of thousands of homeowners could move but don’t, and homes that could sell never reach the market. The property market is slower and more closed than it should be. Homesearch is building the intelligence layer that gets it moving, connecting people, homes and agents through data and AI. Our vision is a fully connected, faster, more open property market.

We’re one of the UK’s leading PropTech platforms for estate agents, helping them win more listings, understand their local market, and turn existing contacts into new instructions. Our products, including HAILO and ReContact, are picking up real momentum and fast becoming tools agents know and trust. We’re a trusted partner to Reapit, Dezrez, Rex, MRI and other leading CRMs, and we’re on our way to One Homesearch: a single, unified platform rather than a collection of tools.

💼 About the Role

Each of our products runs on property data. Billions of structured data points across properties, addresses, listings, agents and market events, plus hundreds of millions of images, floorplans and other property assets. It arrives through multiple feeds and acquisition methods, each with different freshness, completeness and reliability, and it changes constantly. It serves both live customer products and our AI and ML workloads. That data platform is the company.

The hard part is making that trustworthy: resolving inconsistent records into reliable property, address, listing and agent entities, keeping it fresh as the market moves, and serving it economically to live products, search and production AI from one platform.

You’ll join a strong team of engineers and data scientists to build and scale the next generation of Homesearch’s data and AI platform. Working with large property datasets, you’ll automate and improve data pipelines, strengthen our platform foundations, and build reliable, high-performance services. Your work will help the wider team ship safely and quickly, while enabling our data scientists to develop production-grade AI models that power products used by estate agents across the UK.

You’ll sit in our Data & AI team, working alongside two data engineers and reporting to Dan Guo, our Head of AI and Data, who worked on AI, data and Copilot at Microsoft and led data at SwiftKey before joining us. You’ll work with him closely on the architecture: challenging decisions, shaping them, and turning ambitious AI ideas into systems that hold up in production.

This is a hands-on role. You’ll be in the code, the pipelines, the databases and the cloud infrastructure, and you’ll have real say in what the platform becomes.

🔥 What You’ll Do

• Build high-performance data and AI platforms behind our property technology services, spanning cloud infrastructure, data pipelines and production AI models.
• Work hands-on across the codebase, data pipelines, databases and cloud infrastructure to improve performance, scalability and reliability.
• Assess existing systems against real requirements, including performance, freshness, reliability, security and cost, and shape a practical plan for change.
• Modernise constrained legacy components incrementally, behind documented interfaces, without disrupting production.
• Improve how we acquire, ingest and serve data across feeds with different formats, freshness and reliability.
• Define canonical data models, shared identifiers and data contracts for the entities everything depends on: properties, addresses, listings, agents.
• Make large volumes of property assets, including images and floorplans, usable by our products and AI workloads.
• Build automated testing, deployment, observability, recovery and rollback into the platform.
• Create reusable components, templates and documented patterns so other engineers can work independently and safely.
• Share what you know through documentation, code review and hands-on work with our data, software and AI/ML engineers.
• Work closely with data scientists, product teams and senior leaders to translate business priorities into high-performance data pipelines and platform capabilities that deliver measurable value.

😊 About You

• You write, test, debug and explain production code, in Python, Java, Go, Scala, C#, TypeScript or similar, and your SQL and relational modelling are strong. You stay accountable for code you built with AI assistance.
• You’ve built and run modern data platforms: ingestion, transformation, orchestration, batch or streaming, and data serving, with a real grasp of operational databases, object storage, lakehouses and data contracts.
• You have deep production experience on at least one major public cloud (AWS, Azure or GCP), using Infrastructure as Code, CI/CD, automated testing, containers or serverless.
• You’ve modernised legacy systems incrementally, made architecture decisions you can defend with evidence, and built patterns that cut manual work and reduce reliance on any one person.
• You own production reliability: monitoring, alerting, incident investigation, recovery, performance and cloud cost.
• You’ve handled security, governance and data quality properly: access management, secrets, encryption, audit logging, lineage and cataloguing.
• You’ve supported data scientists and ML engineers, and you’re comfortable with large datasets.
• You use AI-assisted engineering tools where they improve development, testing, documentation or troubleshooting, while remaining accountable for the quality, security and correctness of what you ship.
• You’re collaborative and you listen. You respect what people already know about the systems and the domain.
• You’re open to changing your mind when the evidence changes, and open to learning things you haven’t done before. We rate this above years of experience.
• You take initiative, hold a high bar, and think architecturally rather than only executing tasks.
• You’ve worked at real data volume, somewhere that had to scale, and you’re comfortable when priorities and constraints move.

Extra points for:

• Building or running web-scraping and data-acquisition systems.
• Experience with PostgreSQL, MySQL or PHP based services.
• Supporting data platforms used by both live products and AI/ML workloads.
• Property, listing or other entity-resolution data.
• Search and indexing: Elasticsearch, OpenSearch or similar.
• LLMs, RAG, AI agents and the major AI application frameworks.

✨ How We Work

Our values run through everything we do. Remove Friction: make everything seamless. Stay Curious: ask, learn, improve. Own It: take the lead, own the result. Raise the Bar: think big, deliver value. We’re high performers who care about the mission and each other. High standards, open communication, and no room for ego or politics.

⛳️ Compensation, Perks & Benefits

• Competitive salary, plus a performance bonus and share options, so you share in the upside you create.
• 25 days holiday plus bank holidays.
• A MacBook to work on.
• An office with a free on-site gym, free yoga and gym classes, sauna and regular events.
• Hybrid working, 2 to 3 days a week at our office in London Victoria.
• The chance to own the data platform a whole company is built on, at a fast-growing PropTech at a real turning point.

Every year, hundreds of thousands of homeowners could move but don’t, and homes that could sell never reach the market. The property market is slower and more closed than it should be. Homesearch is building the intelligence layer that gets it moving, connecting people, homes and agents through data and AI. Our vision is a fully connected, faster, more open property market.

We’re one of the UK’s leading PropTech platforms for estate agents, helping them win more listings, understand their local market, and turn existing contacts into new instructions. More than 1,500 agents subscribe, from independents to names like Knight Frank, Hamptons and KFH, and we’re a trusted partner to Reapit, Dezrez, Rex, MRI and other leading CRMs. Our products, including HAILO and ReContact, are picking up real momentum and fast becoming tools agents know and trust. We’re a team of around 40, backed by Octopus Ventures.

💼 About the Role

This is some of the most important work in the business. Thousands of estate agents use our products every day, demand for what we build keeps growing, and the backend is what makes all of it work. You’ll be right at the heart of it.

You won’t be boxed into one product. You’ll work across HAILO, our AI listings optimiser, Homesearch Pro, our prospecting product, and our app integrations. The work is varied, the problems are real, and what you ship goes live to customers who rely on it.

You’ll have a real say in what gets built. We’re a small team where good ideas get picked up fast, and you’ll be in the room when product decisions are made, not handed a spec after the fact. If you like shaping what gets built as much as building it, this is that role.

We’re open on level, mid or senior. It’s hands-on: you’ll be in the code every day.

🔥 What You’ll Do

• Work across HAILO, Homesearch Pro and our app integrations, picking up the problems that matter most at the time.
• Build and extend APIs and backend services in our Laravel codebase.
• Find new ways to process and serve property data as our products and customers grow.
• Set a high bar on security, performance and code quality, and help others meet it through code review.
• Help shape how we structure and ship code, from CI/CD on Bitbucket and GitHub to shared packages used across the platform.
• Explain technical trade-offs to product and leadership in plain language, so good decisions get made early.
• Work closely with product, and get involved before a spec is fully settled.
• Use AI tools (we use Claude, GitHub Copilot and Codex) where they genuinely speed up the work.

😊 About You

• Strong PHP and Laravel experience, with solid SQL, MySQL preferred, and a real understanding of optimisation and indexing.
• REST/JSON API development experience, and comfortable working with Redis alongside MySQL.
• AWS experience, particularly API Gateway, ECS and containers, plus Docker and Docker Compose.
• Confident within CI/CD workflows on Bitbucket or GitHub.
• What matters more than years of experience is breadth: you’ve worked across genuinely different kinds of systems, maybe GIS, big data or indexing and data architecture, e-commerce customer flows and payments, and that range shows in how you approach problems.
• You use AI coding tools (Claude, GitHub Copilot, Codex or similar) actively as part of how you work. Neither resisting them nor relying on them blindly, you stay accountable for what you ship.
• Collaborative and genuinely receptive to code review, and comfortable with ambiguity, especially in product conversations before a spec is fully settled.
• You can explain a technical constraint to a non-technical stakeholder without losing them.
• We welcome career paths that don’t run in a straight line. Some of our strongest people came from unrelated fields, and that adaptability is exactly what we’re looking for.

Extra points for:

• Comfortable with Vue (V2/V3) and vanilla HTML/CSS for the occasional frontend-adjacent piece of work.
• Terraform or infrastructure-as-code experience.
• Agile/Scrum ways of working.

✨ How We Work

Our values run through everything we do. Remove Friction: make everything seamless. Stay Curious: ask, learn, improve. Own It: take the lead, own the result. Raise the Bar: think big, deliver value. We’re high performers who care about the mission and each other. High standards, open communication, and no room for ego or politics.

⛳️ Perks

• Competitive salary, plus share options, so you share in the upside you create.
• 25 days holiday plus bank holidays.
• A MacBook to work on.
• An office with a free on-site gym, free yoga and gym classes, sauna and regular events.
• Hybrid working: mostly remote, with time in our London Victoria officeonce a week while you get to know the products and team, then around 2 to 4 days a month once settled.
• Real impact at a fast-growing PropTech at a real turning point.

Kraken powers some of the most innovative global developments in energy.

We create the technology that redefines utilities and unlocks a new energy system of the future. By optimising renewable generation, building a more intelligent grid, and empowering utilities to deliver an exceptional customer experience, our operating system is transforming the industry worldwide.

It’s an incredibly exciting time to work in energy. Join us on our mission to improve the lives of ONE BILLION humans within the decade and shape a cleaner, better future for everyone.

AI is a key investment area for Kraken Technologies. A crucial part of this is building the shared foundations that let every team use AI well and move faster on our mission.

You’ll work in AI Foundations. We build the platform that lets teams across Kraken build and run AI agents. Our work covers four areas:

• Access: connecting people and systems to approved AI models and tools
• Context: grounding AI in trusted Kraken knowledge, data and systems
• Enablement: reusable building blocks for AI-powered workflows and products
• Governance: permissions, safety, quality, cost and visibility across the lifecycle

🏡 Where you’ll fit in
We’re hiring Senior Software Engineers to join one of our three squads:

• Context: Build the Kraken-specific knowledge layer to make LLMs useful. This covers our internal AI assistant, a structured “client brain” that captures client context and decisions, and pipelines that collect knowledge from tools like Notion, Slack and GitHub.
• Tooling: deliver LLMs into people’s hands. We run the AI Hub (usage insights, MCP gateway, self-serve and specialist agents), the LiteLLM gateway behind Claude Code, Codex and Claude Desktop, and secure cloud dev boxes for AI-assisted engineering.
• Evals & Observability: covers skill evals, internal benchmarking, agent safety and guardrails, and observability for live AI runs.

Squads are flexible: when priorities shift, people move. This is a hands-on senior individual-contributor role. With your squad lead and the wider team, you’ll own large parts of our platform, turn ideas into production systems, shape architecture decisions and help raise the engineering bar.

👾 What you’ll own

• Build shared AI platform services: Design, build and run Python services that other teams rely on, such as gateways, agent runtimes, knowledge pipelines and eval harnesses.
• Build and run agents: Work out how agents are triggered, authenticated, monitored and governed across systems like Slack, GitHub, Notion and Asana. Ship both self-serve agents and specialist agents.
• Ground AI in Kraken context: Collect, structure and serve company knowledge so agents give answers that are correct, current and safe to use.
• Measure and prove quality: Define meaningful test cases, build evals whose results can be reproduced, and add tracing so we know how AI behaves in real use.
• Build in safety and governance: Turn permissions, guardrails, budgets and data-access rules into software you can maintain, working with Security and TechOps.
• Operate in AWS: Deploy and support services on AWS and Kubernetes, and make sound reliability, performance and cost trade-offs.
• Drive adoption: Work directly with engineers and non-technical teams, run workshops, write clear docs and turn feedback into product.
• Raise the engineering bar: Review designs and code, mentor others, and create patterns that can be reused across AI Foundations.

🧠 What you bring to the party

• Strong senior-level software engineering: You have owned complex services end to end, from design through testing, deployment and operation.
• Deep engineering fundamentals: Good judgement on system design, concurrency, security, testing and architecture trade-offs. Strong production Python.
• Hands-on LLM and agent experience: You have built real things with LLMs, you know where they fail, and you use AI coding tools every day.
• Cloud experience: You’re comfortable running services in AWS and owning their reliability and scalability.
• Product sense: You care whether people actually use what you build.
• Clear communication: You can explain trade-offs to technical and non-technical people and challenge ideas constructively.
• Learning agility: You pick up new tools and domains quickly in a field that changes every month.

🚀 What success looks like

• Adoption: You ship platform features that teams across Kraken adopt and rely on.
• Solid systems: The services you own are observable, secure, scalable and cost-aware.
• Trust at scale: Teams can build and trust agents without rebuilding the basics.
• Team impact: You make your squad, and the teams around it, better.

⭐️ Bonus points:

• AI engineering: Pydantic AI, LiteLLM, LangChain, MCP servers
• Knowledge and retrieval: RAG, search, embeddings, knowledge graphs
• Evals and safety: Inspect AI, Ragas, OpenAI Evals, NeMo Guardrails, red teaming
• Platform: Kubernetes, sandboxed or cloud dev environments, AWS Bedrock
• Backend: Django
• Observability: Datadog, OpenTelemetry

Are you ready for a career with us? We want to ensure you have the right tools and environment to unleash your potential. If you have any accommodation requests, please contact us at inclusion@kraken.tech. We’ll do our best to tailor the experience to your needs so you can feel comfortable, confident and be at your best!

Studies have shown that some groups of people, like women, are less likely to apply to a role unless they meet 100% of the job requirements. Whoever you are, if you like one of our jobs, we encourage you to apply as you might just be the candidate we’re looking for! At Kraken, we’re creating a team of genuine, honest, empathetic people. Our people are our strongest asset and the unique skills and perspectives people bring to the team are the driving force of our success. As an equal opportunity employer, we do not discriminate on the basis of any protected attribute. We consider all applicants without regard to race, colour, religion, national origin, age, sex, gender identity or expression, sexual orientation, marital or veteran status, disability, or any other legally protected status.

*Our (i) Applicant and Candidate Privacy Notice and Artificial Intelligence (AI) Notice, (ii) Website Privacy Notice and (iii) Cookie Notice govern the collection and use of your personal data in connection with your application and use of our website. These policies explain how we handle your data and outline your rights under applicable laws, including, but not limited to, the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA). Depending on your location, you may have the right to access, correct, or delete your information, object to processing, or withdraw consent. By applying, you acknowledge that you’ve read, understood and consent to these terms

Please note that, in line with our current recruitment policy, we are unable to offer visa sponsorship for this position; applicants must have the right to work in the country that they’re applying to, at the time of application.*

Hexwired has partnered with a company who are an AI Start up and are already excelling in their field. They are looking for a Product Manager who will work closely with ML, backend, and mobile engineers on system design, evaluation, and iteration.

The main responsibilities for the Product Manager are to define end-to-end AI product requirements, from technical capabilities and system behaviour to user experience and business impact.

Key skills required for this Product Manager job:

• Bachelors or Masters degree in computer science or another related field from a Russell group university
• Strong technical foundation in computer science, system design, and machine learning, with experience building or managing AI-powered products, including LLM-based systems.
• Proven experience leading complex technical products end-to-end, partnering closely with Engineering and ML teams to deliver high-impact outcomes.
• Deep understanding of AI evaluation, prompt and pipeline optimisation, model behaviour in production, and the practical challenges of reliability, bias and model performance.
• Excellent product judgment, with the ability to balance user needs, technical feasibility and business priorities in fast-paced, ambiguous environments.

The salary for this Product Manager role will be up to £120,000. The company is rapidly expanding and are at the forefront of their industry. They are looking to pay circa up to £120k along with an excellent benefits package. If you’re interested in this Product Manager role with remote working, please apply.

For more information on this role, or any other jobs across; Embedded, C++ programming, Embedded Linux, Golang Development, Machine Learning, Data Science or Simulation contact us today.

We’re looking for a highly skilled Forward Deployed AI Engineer to join our Health, Wealth & Career (HWC) segment—where you’ll design and deliver cutting-edge AI solutions that solve complex, real-world business challenges and shape the future of work.

This is a hands-on, high-impact role where you’ll move beyond traditional development—partnering closely with stakeholders to translate ambiguous needs into scalable, AI-powered solutions that drive measurable value. You’ll own the full lifecycle—from architecture and build through to deployment and adoption—embedding AI into real workflows, integrating enterprise systems, and ensuring solutions are secure, reliable, and truly user-centric. Sitting close to the business, you’ll continuously refine solutions to maximise impact, efficiency, and adoption.

Why join us?

• At WTW, you’ll be part of our Health, Wealth & Career (HWC) segment—where we use data, technology, and deep expertise to shape the future of work.
• You’ll collaborate across multiple lines of business—such as Retirement, Health & Benefits, and Workforce Strategy—gaining exposure to diverse challenges and opportunities.
• As the role evolves, you’ll also help deliver innovative, AI-driven solutions directly to external clients, turning complex problems into scalable outcomes.
• Together, we’re creating more resilient, high-performing organizations—enhancing wellbeing, enabling better decisions, and driving sustainable business success at scale.
• This is a hybrid role, with the flexibility of remote working alongside occasional time in the office to build strong relationships and collaborate effectively with stakeholders.

The Role
This position is ideal for an experienced Staff Engineer, or Technical Lead with a strong enterprise engineering background and a passion for applying it to AI-enabled systems. You’ll bring deep expertise across modern full-stack technologies (.NET, Azure, SQL, React/Angular), along with experience in distributed systems, observability, and AI tooling such as LLMs, retrieval pipelines, agentic workflows, and platforms such as Anthropic Claude. Experience designing and deploying AI agents, leveraging Model Context Protocol (MCP), and orchestrating enterprise-grade AI solutions will be highly valued.

Acting as a bridge between business and technology, you’ll work across product, data science, architecture, and engineering teams, mentoring others, resolving production challenges, and scaling prototypes into robust, enterprise-grade solutions that deliver measurable business impact.

• AI solution delivery: Design and build AI-enabled applications, copilots, agents, extraction pipelines, prediction interfaces, and decision-support tools using foundation models, retrieval-augmented generation, structured outputs, and orchestration frameworks.
• Forward deployed problem solving: Work directly with business teams, product owners, clients, or operational users to understand real workflows, constraints, data quality issues, and adoption barriers, then translate these into working technical solutions.
• LLM and agent engineering: Build and tune LLM workflows, prompt strategies, schema-driven extraction, tool-calling patterns, agent orchestration, evaluation loops, and human-in-the-loop controls.
• Enterprise integration: Integrate AI solutions with enterprise systems, APIs, data platforms, document repositories, workflow tools, observability platforms, and identity and access management services.
• Production engineering: Ensure AI solutions meet enterprise standards for reliability, scalability, latency, maintainability, cost control, logging, monitoring, and operational support.
• Evaluation and quality assurance: Create evaluation datasets, test harnesses, validation tools, regression checks, and quality review workflows to measure accuracy, extraction quality, hallucination risk, and business usefulness.
• Architecture and technical leadership: Define solution architecture, engineering standards, reusable patterns, and implementation approaches for AI-enabled platforms and services.
• Data and knowledge readiness: Work with engineering, data, and business teams to prepare structured and unstructured data, improve metadata, design retrieval strategies, and identify gaps in source content.
• Security, privacy, and governance: Embed access controls, audit logging, data protection, responsible AI controls, security review, and compliance requirements into the AI delivery lifecycle.
• Adoption and enablement: Support users through demos, pilots, training, feedback loops, documentation, and iterative improvement so that deployed AI solutions create measurable business value.

Qualifications

Hexwired Recruitment has partnered with an innovative AI technology company developing next-generation machine learning solutions for complex real-world applications. Due to continued growth, they are looking for a Senior Machine Learning Engineer to join their expanding team in London.

Required Experience:

• Strong C++ development skills.
• Experience with CUDA for GPU acceleration.
• Python and PyTorch experience.
• Knowledge of Transformers, computer vision or image analysis.
• Postgraduate or commercial experience within AI/Machine Learning

This is an exciting opportunity to work on cutting-edge AI research, developing advanced machine learning technologies that will directly influence innovative real-world products. You’ll work alongside a highly skilled team, solving complex technical challenges and shaping the future of AI systems.

The company are rapidly expanding and are at the forefront of their industry. They are looking to pay circa £60-£80ph outside IR35. The initial duration of the contract is 5 months with possible extension. If you’re interested in this Machine Learning Engineer job in London, please apply.

For more information on this role, or any other jobs across; Embedded, C++ programming, Embedded Linux, Golang Development, FPGA, Python, Javascript, C#, Electronics, Secure Boot, Power Electronics, Digital Design, Machine Learning, Data Science or Simulation, contact us today.

Qualifications

Hexwired has partnered with a company who are an AI Start up and are already excelling in their field. They are looking for an Account Manager based in London who will help to build a product that customers trust within a company built on AI.

The London Account Manager drives top-of-funnel growth by targeting UK independent agencies. Key responsibilities include breaking through to decision-makers (owners/directors) and consistently scheduling qualified Felicity demos.

Experience Required

• Confident running product demos and handling objections after a short learning period.
• Practical experience using AI/LLMs or agents in workflows, automations, or personal projects.

Relevant experience in one of the following:

• PropTech sales into UK agencies.
• Agency operations, such as branch management, or agency ownership.
• Vertical SaaS sales to owner-operated SMEs.
• Operating a property-adjacent SME.

The salary for this Account Manager role will be £45,000 – £60,000. The company is rapidly expanding and are at the forefront of their industry. They are looking to pay circa up to £60k along with an excellent benefits package. If you’re interested in this Account Manager job in London, please apply.

Hexwired Recruitment has partnered with an innovative AI technology company developing next-generation machine learning solutions for complex real-world applications. Due to continued growth, they are looking for a Senior Machine Learning Engineer to join their expanding team in London.

Required Experience:

• Strong C++ development skills.
• Experience with CUDA for GPU acceleration.
• Python and PyTorch experience.
• Knowledge of Transformers, computer vision or image analysis.
• Postgraduate or commercial experience within AI/Machine Learning

This is an exciting opportunity to work on cutting-edge AI research, developing advanced machine learning technologies that will directly influence innovative real-world products. You’ll work alongside a highly skilled team, solving complex technical challenges and shaping the future of AI systems.

The company are rapidly expanding and are at the forefront of their industry. They are looking to pay circa £ 60-£80ph outside IR35. The initial duration of the contract is 5 months with possible extension. If you’re interested in this Machine Learning Engineer job in London, please apply.

For more information on this role, or any other jobs across; Embedded, C++ programming, Embedded Linux, Golang Development, FPGA, Python, Javascript, C#, Electronics, Secure Boot, Power Electronics, Digital Design, Machine Learning, Data Science or Simulation, contact us today.

CI/CD has been solved. Now it’s being reinvented. AI agents don’t just run pipelines. They write code, trigger builds, interpret failures, and propose fixes. The interfaces that developers use to understand and trust that work don’t exist yet. We’re building them.

At CircleCI, our guiding principles aren’t posters on a wall. We learn fast: we run experiments, accept failure, and scale what works. We think like the customer: every decision connects back to the developer sitting in front of a failing build at 2 am. We own the outcome: not just our slice of it, but the whole thing. If that’s how you already work, you’ll fit here.

Team-Agnostic Placement

We don’t hire for a team. We hire for CircleCI. Where you land depends on where your strengths create the most leverage, and we figure that out together. You might own the CI pipeline experience, deploy and release tooling, notification infrastructure, monetization flows, AI agent surfaces, or the foundational web platform. The through line across all of it is the same: full-stack ownership, a high bar for craft, and work that directly shapes how tens of thousands of developers experience CircleCI every day.

What You’ll Do

• Build AI-natively. AI is how we work. It’s not a productivity layer on top of engineering, but the default starting point for how problems get approached and solved.
• Invent new interfaces. Software delivery is being reinvented. Pipelines run autonomously, generate fixes, and surface results that need human judgment. The tools developers use to understand, trust, and act on that work don’t exist yet. You’ll define what they look like.
• Obsess over craft. Reliability and responsiveness are design concerns, not afterthoughts. Care about how the interface holds up when stakes are high.
• Champion observability. Use Honeycomb, Datadog, and Rollbar to understand and improve your systems. Operational data drives stability, not just incident response.
• Pick up slack. You’ll notice gaps and close them — not because you were asked, but because that’s the standard we hold ourselves to.

What You’ll Bring

• AI-native engineering practices. You use AI tools daily and can speak to what you’ve built, where they changed your approach, and where they fall short.
• A track record of shipping. You’ve built something real and put it in front of users. 3+ years of production full-stack, backend leaning experience.
• Backend depth. Strong backend expertise in Go, including API design, data modeling, and service integration, with the ability to contribute across the stack when needed.
• System design. You think about architecture, not just features. You make conscious tradeoffs and document your reasoning.
• Production mindset. Latency, responsiveness, and reliability are design concerns. You’re comfortable operating services in a distributed environment.

Sound like you?

You’ve stopped waiting for AI to mature and are already building with it, not as a productivity trick, but as a core part of how you think about problems. You care about the product as much as the code. You’re drawn to work where the patterns don’t exist yet and the best answer requires you to invent it. If that’s how you already operate, we want to talk.

Job Description

Job Description