Machine Learning Jobs

• Glasgow
• £25,000 – £45,000 pa
• Entry level

A self-paced traineeship taking complete beginners through AI fundamentals, Python, data handling, machine learning and Git/GitHub, with Microsoft AI-900 certification and two tutor-assigned industry projects. On completion, candidates are placed into a Junior AI Engineer role with a partner employer within 20 miles of their location.

Microsoft Azure · Git · GitHub

• Birmingham
• £25,000 – £45,000 pa
• Entry level

A self-paced traineeship taking complete beginners through AI fundamentals, Python, data handling, machine learning and Git/GitHub, plus Microsoft AI-900 certification and two tutor-assigned industry projects. On completion, candidates are placed into a Junior AI Engineer role within 20 miles of their location, with training delivered online around existing work or study commitments.

Azure · Git · GitHub

• London
• On-site
• Entry level
• Permanent

This role involves researching and optimizing high-frequency trading strategies using advanced technology. You will work closely with experienced quant strategists, developing systems in C++ or Java, analyzing data, and contributing to strategy development as you gain experience.

• London
• Hybrid
• £375,000 – £640,000 pa

Designs and runs large-scale reinforcement learning experiments to understand how RL behaves as model size, compute and task horizon grow, and builds benchmarks that make long-horizon progress measurable. Sits at the boundary between research and engineering, debugging failures that only appear at frontier scale and shipping validated findings into production training recipes alongside adjacent RL teams.

• 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

Lead delivery across an AI safety portfolio, overseeing frontier model evaluations, red teaming and safeguard testing with labs such as OpenAI and Anthropic. Act as the primary link between government and public sector clients and internal data scientists, shaping proposals and advising on AI safety strategy while mentoring team members.

OpenAI · Anthropic · Metaview

• Forest Park, United States
• On-site
• Mid-level
• Permanent · Shift work

Provide first response to engineering fault conditions and carry out electrical and mechanical planned maintenance across a highly automated customer fulfilment centre. Diagnose equipment breakdowns, perform assembly and sub-assembly repairs from blueprints and schematics, and analyse data to improve material handling equipment performance. The role involves shift work, working at height, and initial training travel to other sites in North America and/or the UK.

Computerized Maintenance Management Systems · G-Suite · MS Office

• 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

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

Join a multidisciplinary applied science team tackling optical and photonic challenges across defence, healthcare and energy. Day-to-day work spans lab experimentation and desk-based analysis, with a central focus on designing and developing photonic integrated circuits, plus free-space optics, fibre systems or photonic devices. Tailored training is provided for those without an integrated photonics background.

Ansys Lumerical · Zemax · Python +1

• United Kingdom
• On-site
• Senior
• Permanent

This role involves designing and solving complex digital electronics challenges across diverse industries such as defence, healthcare, and telecommunications. You'll lead high-speed electronics development, work on cutting-edge FPGA and processor-based systems, and debug hardware using advanced tools and in-house labs. The role emphasizes innovation, technical ownership, and collaboration within multidisciplinary teams on novel, non-repetitive projects.

• London
• Remote
• Permanent

Design and implement novel research ideas, ship state-of-the-art models to production, and maintain deep connections to academia. The role blends engineering and research, with everyone contributing to production code and experimentation on large-scale distributed training infrastructure. Compute-to-engineer ratio is unusually high, and the position is remote-friendly with no location restrictions.

TensorFlow · TF-Serving · JAX +3

• 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
• £80,000 – £105,000 pa

Hands-on engineering role designing, building and supporting production-grade AI solutions in a professional services environment. You will work with stakeholders to identify use cases, develop AI applications and agents using Microsoft technologies such as Copilot Studio and Azure AI Foundry, and ensure solutions are secure, auditable and compliant with GDPR and the EU AI Act.

Microsoft Copilot Studio · Azure AI Foundry · Azure DevOps

• United Kingdom
• Remote
• Permanent

Builds agents that run real parts of the business, working in Marketing Engineering and forward-deployed to growth pods to find problems and own solutions end to end. Uses Python, SQL, LLM APIs and agent orchestration with frontier models, focusing on making agents reliable, measurable and safe enough for the business to depend on.

LLM APIs

• Monroe, Ohio, United States
• On-site
• Mid-level
• Shift work

Provide first response to engineering fault conditions and carry out electrical and mechanical planned and reactive maintenance across a highly automated customer fulfilment centre. Diagnose breakdowns, perform assembly and sub-assembly repairs from blueprints and schematics, analyse MHE performance data and complete quality inspections. Initial 6-9 months involve training and travel to another North American site, with shift work covering days and weekends.

Computerized Maintenance Management Systems · G-Suite · MS Office