Machine Learning Jobs

• London
• On-site
• Internship

A one-week unpaid work placement at Faculty's London offices for service veterans in their last 12 months of regular service. Participants gain structured exposure to different roles, processes and people across the Defence Business Unit, seeing how a leading AI company applies machine learning to surveillance, reconnaissance, autonomous systems and combat service support.

Metaview

• London
• Hybrid
• Senior
• Permanent

Lead original technical research in AI safety, steering projects from initial question to high-impact publication. Work spans interpretability, steering vectors, goal drift, machine unlearning and uncertainty calibration for transformer LLMs and agentic systems, with outputs informing frontier labs and government institutes. Involves building reproducible research code and collaborating with red-teaming and evaluation teams.

PyTorch · Transformer · Metaview

• London
• Hybrid
• Permanent

This is a fantastic opportunity to join Luminance, the pioneer of Legal-Grade™ AI for enterprise. Backed by internationally renowned VCs and named in both the Forbes AI 50 list of ‘Most Promising Private AI Companies in the World’ and Inc.…

• Cambridge
• Hybrid
• Permanent

Designs and develops the core AI platform, applying large-scale Python codebases and libraries like Flask, NumPy and PyTorch within a web-hosted service architecture. Open to graduates as well as senior engineers, with scope to grow into technical or people leadership. Emphasis on software best practices and seeing projects through to completion.

Python · Flask · Requests +2

• United Kingdom
• Entry level

Join the AI & Algorithms department to build intelligent systems, coding hands-on and training/testing models for client projects across robotics, radar, photonics and engineering biology. Work in mixed-discipline teams attending stand-ups and planning sessions, while contributing to internal R&D that turns state-of-the-art literature into market-leading solutions and client demonstrations.

LLM · VLM · VLA

• United Kingdom
• On-site
• Senior
• Permanent

Work as part of a multi-disciplinary technical team on client assignments spanning consumer devices, industrial systems, and defence. Design and implement embedded systems, including C software for embedded targets, SystemVerilog for FPGAs, PCB design, and hardware testing, while interacting directly with clients from requirements capture to handover.

SystemVerilog · FPGA · LEGO SMART Play

• London
• Hybrid
• Permanent

Post-train frontier AI models to state-of-the-art performance, writing high-performance scalable training software and improving SFT and RL cycles. Works across research and engineering on large-scale distributed training with Python, JAX, PyTorch, Kubernetes, Slurm and Ray, coordinating with specialist teams such as Agentic and Code.

JAX · PyTorch · XLA +4

• London
• Remote
• Permanent

Designs and oversees data collection tasks with human annotators, applies statistical methods to assess dataset quality, and analyses the robustness and generalisability of large language models. Involves training and fine-tuning LLMs on distributed infrastructure and running experiments with researchers, engineers and annotators to improve model performance.

PyTorch · TensorFlow · JAX

• Erith
• On-site
• Lead · manages people
• Shift work

Lead a team of engineers, technicians and trainees at an automated Customer Fulfilment Centre, allocating workload, developing staff and handling disciplinary matters. Requires hands-on mechanical and electrical engineering competence to make decisions across a 24/7 operation, working 12-hour day, night and weekend shifts.

Computerised Maintenance Management Systems

• Royston
• On-site
• Entry level
• Permanent

Graduate consultants join multi-disciplinary teams to invent new products and technologies, covering invention, analysis, prototype design and transfer to manufacture across areas like drug delivery, AI-driven discovery and 5G antennas. Alongside technical work, they engage directly with clients, build market understanding and take on project leadership as they gain experience.

5G NTN

• London
• £80,000 – £110,000 pa

Hands-on data science role building a dedicated Claims Analytics capability for an international insurer. You will develop statistical and machine learning models for claims forecasting, triage, severity, recoveries and resource planning, working with structured and unstructured claims data alongside Claims, Underwriting, Actuarial and Technology teams.

• Erith
• On-site
• Mid-level
• Shift work

You'll be the principal point of contact for critical technical issues at Ocado's largest operational Customer Fulfilment Centre, keeping the 24/7 operation running through proactive improvement works and maintenance on conveyor networks, lifts and cranes. The role works a 12-hour shift pattern across days, nights and weekends, with a strong emphasis on health and safety and working at height.

Conveyor Networks · Lifts · Cranes

• London
• £80,000 – £90,000 pa

This role involves designing and deploying AI-native applications using Large Language Models, agentic systems, and multimodal AI technologies. The engineer will build full-stack solutions, including intelligent agent workflows on Google’s Gemini platform, RAG architectures, and scalable front-end interfaces with React and Svelte. Collaboration with stakeholders to deliver production-grade AI applications that solve real business problems is a core responsibility.

• London
• Hybrid
• Mid-level
• Permanent

Serve as the technical bridge between frontier generative biology models and pharmaceutical/biotech customers, owning end-to-end deployment, API integration and model-serving infrastructure. Work embedded on-site with partners, translating scientific requirements into production-grade systems while feeding customer insights back to product and research teams.

AWS · GCP · Azure +2

• London
• Hybrid · 2 days in office
• £85,000 – £90,000 pa
• Senior

Builds and scales customer-facing data products on an Azure Databricks lakehouse, combining Spark pipelines, Unity Catalog governance and LLM features such as RAG, semantic search and recommendation engines. Acts as a bridge between product, commercial and engineering teams, mentoring juniors and shaping data monetisation strategy.

Azure Databricks · Azure · Unity Catalog +7