Machine Learning Jobs

• Remote (UK)
• Remote
• Lead
• Permanent

Lead hands-on computer vision work and architect technical solutions for complex defence projects, guiding multidisciplinary teams through the development lifecycle. Act as a primary technical authority, contributing CV expertise to bids, shaping technical strategy, and mentoring team members while deploying SOTA models into production.

Metaview

• Remote (UK)
• Remote
• Lead · manages people
• Permanent

Leads complex machine learning delivery and strategy for the Defence team, owning a portfolio of work, scoping projects and acting as a technical authority. Writes production-grade Python, builds Generative and agentic AI applications with LLMs, and mentors junior data scientists. Requires UK Security Clearance and 2-4 days per week on client sites.

Metaview

• London
• Hybrid
• Lead · manages people
• Permanent

Lead a dedicated Runtime Platform team building the application frameworks, middleware, IPC, performance and observability foundations that support Wayve's onboard AI Driver. The role is people-first, combining coaching, hiring and roadmap ownership with technical direction across latency, profiling, real-time scheduling and embedded Linux, partnering with vehicle software, hardware and OEM programme teams.

QNX · OpenTelemetry · Grafana +7

• London
• Hybrid
• Senior · manages people
• Permanent

Own the technical vision and architecture for a petabyte-scale data enrichment platform that lets model engineers deploy, evaluate and improve ML models across large GPU fleets. Combine hands-on Python backend engineering with cross-team technical leadership, mentoring senior engineers and leading a small team of 2-3.

Flyte · Airflow · Dagster +6

• New York, United States
• Hybrid · 2–3 days in office
• Mid-level

Builds high-fidelity CFD models from geometry clean-up and meshing through simulation and post-processing, using Star-CCM+, OpenFOAM or Fluent and parametric CAD tools. Works alongside data scientists and ML engineers to generate simulation datasets for deep learning surrogates, running jobs on cloud and on-premise HPC, with occasional international travel to customer sites.

Star-CCM+ · OpenFOAM · Fluent +4

• Singapore
• Hybrid
• Lead

Join a new Singapore research team building physical foundation models for industrial engineering, translating physics and simulation challenges into mathematical formulations. You will develop deep learning and probabilistic models for physical systems, run large-scale experiments, and own research workstreams while publishing and presenting to customers and the community.

NumPy · SciPy · Pandas +4

• London
• Entry level

New-grad engineers join a cohort to build infrastructure and products across backend, full stack, infrastructure, databases, systems, cloud and customer-facing teams. You own the full development lifecycle — design, development, testing and production operations — with a dedicated mentor and a focus on reliability, scalability and security.

Databricks · Genie · Lakebase +4

• London
• Senior

Expert-level technical leader owning the most complex enterprise customer engagements, driving consumption strategy and executive relationships as the definitive technical authority for banking and financial services accounts. Leads multi-workload platform architectures, enterprise migrations, real-time systems and AI/ML at scale, while mentoring junior architects and orchestrating cross-functional teams. Requires deep hands-on coding in Python and SQL plus expert Databricks platform knowledge.

Databricks · Snowflake · AWS +7

• London
• Hybrid
• Mid-level · manages people
• Permanent

Lead and scale a team of Applied AI Engineers supporting early-stage and high-growth startup customers from experimentation to production. You'll coach engineers on architecture, evaluations, cost optimisation and migrations, partner with Sales on competitive pursuits, and turn recurring needs into repeatable playbooks and reference architectures.

OpenAI

• London
• Hybrid
• Mid-level · manages people
• Permanent

Lead and scale a team of Applied AI Engineers partnering with high-growth startups to move from experimentation to production on OpenAI's platform. The role blends people leadership, hands-on technical architecture guidance, and cross-functional work with Sales, Product, and Research to build repeatable deployment playbooks and reference architectures.

OpenAI

• Loughborough
• Hybrid · 3 days in office
• Lead
• Permanent

Lead the development of proprietary deep learning models to enhance underwriting capabilities, building neural networks such as LSTMs, RNNs and Transformers on structured and unstructured data. The role combines technical direction-setting, stakeholder collaboration and mentoring, taking models from prototype through to production in a hybrid Nottingham-based team.

PyTorch · TensorFlow · Hugging Face Transformers +1

• Leicester
• Hybrid · 3 days in office
• Lead
• Permanent

Leads the development of proprietary deep learning models to enhance underwriting capabilities, building neural networks such as LSTMs, RNNs and Transformers on structured and unstructured data. Sets technical direction, manages projects, communicates with stakeholders and mentors junior team members, driving prototypes through to production.

PyTorch · TensorFlow · Hugging Face Transformers +1

• Cambridge
• £35,000 – £45,000 pa
• Entry level

Engineer the future of defence and securityThis team is motivated by saving lives in war affected regions and on the battlefield. They believe that by combining advanced technologies from different sectors they can fundamentally change the effectiveness of those we…

• London
• On-site
• Senior
• Permanent

Customer-facing technical role driving GenAI/ML adoption for large UKI enterprises, designing architectures, leading workshops and proof-of-concepts, and advising C-suite leaders. Requires hands-on ML experience with PyTorch, TensorFlow, Hugging Face and AWS services like Bedrock and SageMaker, plus thought leadership through blogs and events.

AWS · PyTorch · TensorFlow +7

• London
• £70,000 – £75,000 pa

Deliver technical training to graduate cohorts while creating and improving curriculum content across Data Engineering, Cloud, AI and Analytics. Mentor learners through workshops, projects and technical sessions, supporting capability building and continuous improvement. Combines hands-on data expertise with coaching in a structured training and consulting model.

AWS · Azure · GCP +1