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

Contributes to high-fidelity CFD simulations for marine propulsion projects, including propeller and hull-propeller interaction, using OpenFOAM for steady-state and transient cavitating cases. Builds models from geometry clean-up and meshing through post-processing, and works at the intersection of CAE and data science to generate simulation datasets for machine learning surrogates. Joins at the founding stage of the Singapore team, collaborating with data scientists and ML engineers and occasionally travelling to customer sites.

OpenFOAM · Star-CCM+ · Fluent +4

• Andover
• On-site
• Shift work

First-line response for engineering faults in a highly automated Customer Fulfilment Centre, diagnosing and resolving issues that impact performance. Carries out planned servicing and repairs while contributing to proactive reliability and efficiency projects, working hands-on with robotics, control systems and automation hardware. Shift-based cover for a 24/7 operation, including 12-hour day, night and weekend shifts and work at height.

Ocado Smart Platform · Robotics · AI +1

• Kraków, Poland
• Hybrid · 2 days in office
• Senior
• Permanent

Senior ML engineer role in a cross-craft data science team building prediction, ranking and personalisation systems for an e-commerce platform. Owns the full ML lifecycle on production systems, from experimentation and training to serving, monitoring and cost management, while coaching others and shaping reusable platform building blocks.

GCP · Vertex AI · BigQuery +6

• Brentford
• Hybrid
• £70,000 – £95,000 pa
• Senior
• Permanent

Design and deploy production-grade computer vision systems using deep learning techniques such as CNNs and Vision Transformers. Translate AI research into robust, real-world applications for defence and security environments. Work across the full development lifecycle, from research to deployment on cloud and edge platforms.

• London
• Hybrid
• Senior · manages people
• Permanent

Lead end-to-end delivery of complex AI/ML engagements for enterprise customers, from strategic planning through pre-production deployment and optimisation. Architect solutions on AWS services with a focus on Generative AI using Amazon Bedrock and SageMaker, while mentoring junior consultants and supporting pre-sales scoping. Based in AWS offices in London, Manchester, Bristol or Cambridge when not at customer sites.

AWS · Amazon Bedrock · SageMaker

• 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
• £140,000 – £160,000 pa
• Director · manages people

Lead a business-wide data, analytics and AI transformation agenda, reporting directly to the COO and managing a team of around 18 across data, BI, strategic insights and advanced analytics. Define the strategic roadmap, drive adoption of AI, machine learning and predictive modelling, and influence executive stakeholders in a complex international organisation.

• Bradford
• On-site
• £40,000 – £50,000 pa

Hands-on role spanning the full data lifecycle, from collecting, cleansing and transforming datasets to advanced analysis and predictive modelling. You'll build pipelines, data models and analytical frameworks supporting AI and machine learning initiatives, translate business requirements into technical solutions, and present findings to stakeholders while potentially mentoring learners and junior team members.

Python · SQL

• London
• Hybrid
• £50,000 – £60,000 pa
• Mid-level

Design, build and deploy scalable data pipelines on the Databricks Lakehouse Platform, working across the full engineering lifecycle from requirements gathering to deployment and optimisation. Build data models supporting reporting, analytics, ML and AI use cases, and implement governance and data quality practices within a consulting team delivering enterprise-scale platforms.

Databricks · Delta Lake · Azure +2

• Newcastle upon Tyne
• £75,000 – £90,000 pa
• Mid-level

Builds forecasting models and applies statistical and machine learning techniques to large structured, unstructured and alternative datasets. Designs automated data pipelines, reporting and self-service visualisation tools, and works closely with business stakeholders to turn analysis into strategic decisions. Sits in a highly skilled analytics team with significant ownership and autonomy.

Azure · Databricks

• London
• Hybrid
• £130,000 pa
• Senior

Client-facing consulting role within a global technology consultancy's Data & AI practice, serving pharmaceutical and Life Sciences organisations. Combines hands-on Data Science and AI delivery with strategy, stakeholder engagement and pre-sales, using Python, SQL and modern Data & AI platforms including GenAI. Focus on commercial applications such as sales, marketing and customer analytics.

Python · SQL

• Reading
• Senior

Engage a small set of strategic software companies to integrate NVIDIA's AI and computing platforms into their products, acting as a trusted technical advisor on agentic AI, open models and GPU-accelerated computing. Provide sample code, SDKs and demo pipelines to accelerate onboarding, while mapping the developer ecosystem and feeding field insights back to product teams. Also represents NVIDIA at industry and developer events.

NVIDIA · NIMs · SDKs

• United States
• Remote
• US$180,000 – US$200,000 pa

Develop and improve production machine learning systems, designing, building and deploying models used in high-volume environments. Own experimentation frameworks and evaluation methodologies, research new techniques, and work with large-scale distributed data platforms using Spark and Python/SQL. Partner with Product and Engineering to translate business problems into data-driven solutions.

Spark

• London
• On-site
• Senior
• Permanent

The role involves designing and managing data-driven trading models for global macroeconomic assets, primarily using futures and foreign exchange. Responsibilities include developing systematic trading strategies, applying advanced quantitative methods, and collaborating in a research-driven environment to enhance alpha models and portfolio construction techniques.