Machine Learning Jobs

• London
• Mid-level

You will own and grow one of Databricks' most strategic Manufacturing accounts, co-developing a business plan with ecosystem partners to exceed quarterly and annual usage and booking goals. The role involves leading complex sales campaigns, proving out big data and AI use cases on the Data Intelligence Platform, and co-selling with AWS, Azure, Google Cloud and Global Solution Integrators while engaging C-level executives.

Databricks · AWS · Azure +7

• New York, United States
• Hybrid
• Lead

Lead the ML approach to manufacturing and MRO data, taking models from design through deployment in customer production environments across cloud, on-prem and edge. Work with sparse, drifting sensor and process data, fusing physics simulation with shop-floor measurement, and set uncertainty quantification and validation standards. Requires travel to customer sites 3-4 weeks per quarter and mentoring of engineers and data scientists.

PyTorch · Pandas · FastAPI +2

• New York, United States
• Hybrid
• US$240,000 – US$300,000 pa
• Director · manages people

Leads regional deployment engineering for a physics AI platform, owning end-to-end delivery into customer-owned infrastructure and acting as primary technical contact for CIOs and CTOs. Combines executive engagement with hands-on work on Kubernetes, cloud and infrastructure-as-code deployments, while hiring and scaling a team of deployment engineers. Requires navigating regulated, high-security and on-prem/HPC environments.

Kubernetes · AWS · Azure +6

• Didcot
• On-site
• £45,000 – £65,000 pa
• Mid-level
• Permanent

Develops predictive models and chemometric capabilities that turn spectroscopy and industrial process data into practical recommendations for manufacturers. Works hands-on with Python, machine learning and statistics alongside chemometricians, software developers and customer engineering teams, with occasional international travel. Combines technical experimentation with customer collaboration to shape the IRis platform.

Azure · IRmadillo · IRis

• Oxford
• Hybrid
• Senior
• Permanent

Full-stack engineer joining the Over-the-Air and Configuration team, building Python back-end services that deliver software and configuration from cloud to autonomous vehicle fleets. Work spans GCP infrastructure, Terraform, Mender, Linux on-vehicle systems, security and CI/CD, with front-end tooling built using AI-assisted development.

GCP · Terraform · Mender +5

• Oxford
• Hybrid
• Permanent

Hands-on field robotics role in the Launchpad team, operating, testing and debugging autonomous vehicle systems on real industrial sites. You build your own tooling (Python/Bash, C++, ROS, Linux) and trace faults across the hardware-software boundary, with extensive travel and secondments to the UAE.

ROS · Linux · Git +4

• 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

• Bromley
• Remote
• £30,000 – £45,000 pa
• Junior

A 15-step online, self-paced AI traineeship covering Python, neural networks, LLMs, prompt engineering, RAG, machine learning with scikit-learn, and AWS cloud fundamentals. Includes hands-on projects such as a Streamlit car price app and a customer service chatbot, plus tutor and recruitment support with a job guarantee.

Jupyter Notebooks · VS Code · Streamlit +7

• Leicester
• Remote
• £30,000 – £45,000 pa
• Junior

A 15-step online, self-paced traineeship covering AI engineering fundamentals, Python, data handling, prompt engineering, RAG, machine learning and AWS cloud certification, with tutor and recruitment support. It is a paid training course rather than a salaried job, aimed at career changers with no prior experience, and includes a job guarantee or money-back promise.

Jupyter Notebooks · VS Code · Streamlit +7

• London
• Hybrid · 3 days in office
• Lead

Lead the development and execution of (pre)-formulation strategies for small molecules across drug discovery and preclinical development, designing technologies such as solid dispersions and co-crystals to optimise solubility, stability and manufacturability. Work within an interdisciplinary team alongside AI/ML drug design platform specialists, leveraging external CRO resources and authoring regulatory submissions.

ICH · ASAP · FDA

• London
• Lead

Leads customer intelligence and value measurement across multiple markets, building CLV, RFM segmentation and incrementality models. Reconciles customer, transaction and margin data into defensible value estimates, partnering with Finance on reproducible methodologies. Delivers scalable pipelines using Databricks, Spark/PySpark and Python, with strong data validation and audit practices.

Databricks · Spark · PySpark +4

• Erith
• On-site
• Shift work

First-line responder for engineering faults in a highly automated Customer Fulfilment Centre, diagnosing and resolving issues that affect performance. Carries out planned servicing and repairs and contributes to proactive reliability and efficiency projects, working with robotics, PLCs, SCADA and conveyors. Shift-based cover for a 24/7 operation on 12-hour days, nights and weekends.

PLC · SCADA

• London
• Hybrid
• Senior

Gatekeeper for EMEA data center deals from desktop review through LOI to lease execution, spending about 75% of time on preconstruction and pre-lease diligence and 25% on delivery. Independently tests developer schedules, costs, power and permitting against source documents, shapes lease and contract terms, and embeds with partners on site to drive accelerated build schedules.

Claude

• Colchester
• Director · manages people

Lead and unify a globally distributed software engineering organisation across the UK, Germany, India and remote teams in Europe and Asia. The role balances customer-specific delivery with strategic product roadmaps, architectural modernisation and the adoption of AI both in engineering processes and in inspection products.