Machine Learning Jobs

• New York, United States
• US$150,000 – US$250,000 pa

Builds and deploys customer-facing applications that put physics AI models into production, working directly with customers, data scientists and ML engineers. Involves rapid prototyping, RESTful APIs in Python (FastAPI), microservices, and cloud deployment with Kubernetes, Helm, Terraform and AWS/Azure, plus quarterly on-site travel.

FastAPI · Helm · Kubernetes +3

• Singapore
• Mid-level

Customer-facing role owning the full customer journey, from onboarding and change management to roadmap planning and contract preparation. Works alongside simulation, software, ML engineers and data scientists to translate industry challenges into product opportunities, tracking engagement and measuring value. Based in Singapore, bridging advanced AI capabilities and practical engineering applications.

• London
• Hybrid
• £165,000 – £230,000 pa
• Lead

Leads delivery of custom agentic AI solutions for enterprise customers, owning engagements from SOW through production deployment. Drives delivery plans, product scoping, stakeholder relationships and ROI measurement while pressure-testing technical decisions alongside Forward Deployed Engineers. Involves up to 25-50% travel and building repeatable delivery patterns for an emerging function.

• London
• Remote
• Temporary

A four-month, full-time research fellowship focused on empirical AI projects in either ML systems and performance or reinforcement learning. Fellows work with external infrastructure like open-source models and public APIs, receive direct mentorship from Anthropic researchers, and aim to produce a public output such as a paper submission.

Claude

• London
• Hybrid
• Senior
• Permanent

Builds and maintains core C++/Python components that interface self-driving models with vehicle and embedded systems, plus infrastructure to run and test autonomy capabilities. Owns reliability and performance of Linux-based systems and specialises in one domain such as localisation/mapping, filtering/diagnostics or control/inference, in a team scaling to 5-6 engineers.

Linux

• London
• Hybrid
• Mid-level
• Permanent

Own a substantial work package end-to-end, defining the problem, setting strategy and sequencing work to ship outcomes for an end-to-end AI driving platform. Lead a cross-functional team of engineers, researchers and PMs without formal authority, translating R&D progress and customer needs into a product roadmap with clear KPIs and milestones.

• London
• Hybrid · 3 days in office
• Senior
• Permanent

Senior technical owner for a named portfolio of enterprise customers, acting as the "CTO of your book of business" and shaping AI strategy from pre-sales discovery through production adoption. Owns technical account plans across ChatGPT Enterprise, the OpenAI API, Codex and agentic solutions, leading discovery, architectures, evaluations and proofs of value while coordinating deployment, enablement and partner specialists.

ChatGPT Enterprise · OpenAI API · Codex +1

• United Kingdom
• On-site
• Entry level
• Permanent

Work on multidisciplinary engineering projects across consumer, industrial, and defence sectors, designing embedded systems, writing firmware in C or SystemVerilog, and developing hardware for innovative products. Engage in full project lifecycles from requirements to handover, with mentorship to grow technical and systems design expertise. Projects include robotics, AI-driven security solutions, and collaborative product development with major clients.

• United Kingdom
• On-site
• Entry level
• Permanent

Design and develop electronic systems across diverse domains including aerospace, defence, and consumer devices, with hands-on involvement in hardware design, FPGA development, PCB layout, and lab-based testing. Work in multidisciplinary teams on cutting-edge projects such as secure satellite communications and 5G antenna systems, gaining exposure to embedded software and system-level integration. Benefit from structured mentoring and real-world client engagement from day one.

• Manchester
• Senior · manages people

Lead technical delivery of AI, machine learning and data science solutions for major financial services clients, including architecture design, production model deployment and mentoring small teams of data scientists. The client-facing role also involves senior stakeholder engagement, business development and thought leadership, using Python, SQL, Pandas, Scikit-Learn and Spark, with LLM, prompt engineering and RAG knowledge advantageous.

Pandas · Scikit-Learn · Spark

• Manchester

The OpportunityA leading financial consultancy is seeking a Senior AI & ML Engineer to lead the design, development and deployment of cutting-edge AI, Machine Learning and Generative AI solutions. You'll play a key role in shaping technical strategy, building production-grade…

• London
• Senior
• Contract

Builds ML and graph-based identity resolution where rule-based matching falls short, improving customer-spine architecture and reducing identity drift. Defines matching-quality metrics, supports golden-layer integration and delivers a reusable identity-resolution framework. Requires entity resolution, fuzzy matching, MLOps and feature-store skills plus Customer Master/MDM experience.

MDM

• Manchester
• On-site
• £550 – £600 pd
• Mid-level
• Contract

Contract data science role focused on building and evaluating AI/ML solutions, including classical models and LLM-based applications on Google Cloud Platform. Day-to-day work spans prompt engineering, RAG concepts, experiment design, model evaluation and documentation, alongside requirements gathering, code review and troubleshooting with project managers and developers.

GCP

• London
• £90,000 – £110,000 pa
• Senior

Designs and optimises multi-threaded C++ pipelines for image processing, computer vision and rendering, tuning algorithms for spatial analysis, sensor alignment and scene reconstruction. Uses parallel computing and GPU acceleration to hit strict performance targets, builds cross-platform production software, influences architecture and joins a support rota. Works on a core platform being built from the ground up.

C++17 · Git · CMake +5

• United Kingdom
• Hybrid · 1 day in office
• £90,000 – £100,000 pa
• Lead
• Permanent

Hands-on technical lead for a large-scale AI programme, turning architectural direction into production-grade systems across complex legacy and multi-cloud environments. Builds RAG pipelines, semantic search, embedding infrastructure and orchestration layers, sets coding standards, mentors engineers and embeds Responsible AI guardrails, security and observability.

LangChain · LlamaIndex · AWS +3