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.

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