Machine Learning Jobs

• Singapore
• Mid-level

Customer-facing role owning the full customer journey, from onboarding and change management to roadmap planning and contract preparation. Works alongside simulation, software, ML engineers and data scientists to translate industry challenges into product opportunities, tracking engagement and measuring value. Based in Singapore, bridging advanced AI capabilities and practical engineering applications.

• 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

• London
• Hybrid
• Senior

Builds AI-powered planning systems for global warehouses and last-mile operations, developing machine learning models, optimisation algorithms and operational simulations. Takes high-impact models from prototype to monitored production, sets technical direction and mentors data scientists while working with engineers, product managers and retail partners.

BigQuery · OR-Tools · SimPy

• London
• Hybrid
• Senior

Owns the software engineering that brings data science and ML products into live production for the Autoplanner team, building AI-powered planning systems for global warehouses and last-mile assets. Works mainly in typed, well-tested Python (with some Java for OSP integration), handling cloud deployments, CI/CD, APIs, and MLOps model serving and monitoring on AWS.

AWS · GCP · Python +1

• Newcastle upon Tyne
• £90,000 – £110,000 pa
• Mid-level

Builds forecasting models and applies statistical and machine learning techniques to large structured and unstructured datasets, turning them into insights for strategic decisions. Designs automated data pipelines, reporting and self-service visualisation tools, working closely with both technical and non-technical stakeholders in a collaborative analytics team.

Azure · Databricks

• Bristol
• Remote
• £90,000 – £110,000 pa
• Lead

Hands-on senior role designing and building scalable data platforms, ETL/ELT pipelines and secure data services and APIs that power analytics, machine learning and AI systems. Works closely with product, engineering, data science and leadership teams, setting standards for data quality, governance, lineage and observability, with scope to build and lead a wider data function.

AWS

• London
• Remote
• £80,000 – £95,000 pa
• Senior
• Permanent

Hands-on senior role in a newly formed team building applied Generative AI products for synthetic data generation and augmentation. You will design, validate and productionise LLM-based solutions, working closely with Product and Engineering, and communicate methodology to non-technical stakeholders. High autonomy and end-to-end ownership from problem definition to delivery.

RAG

• United Kingdom
• Remote
• Senior

Technical account manager role focused on a small set of strategic software companies, driving adoption of NVIDIA's AI and accelerated computing platform. Involves hands-on work with agentic AI, open models, SDKs, NIMs and blueprints, plus developer advocacy, ecosystem mapping and representing NVIDIA at events.

NVIDIA · NIMs · SDKs

• London
• Lead · manages people

Lead a team of data scientists while remaining hands-on, driving AI, NLP and Generative AI initiatives across a global legal services firm. You will build LLM, semantic search, RAG and deep learning solutions, plus scalable Python pipelines for structured and unstructured legal data, partnering with engineering, legal and business teams.

PyTorch · TensorFlow · SpaCy

• London
• On-site
• Mid-level
• Permanent

As a Quantitative Researcher, you will develop and test innovative signals, models, and trading strategies for global financial markets. You'll work closely with a small, high-performing team to design and implement research tools and data pipelines, applying rigorous statistical and computational methods.

• London
• Senior

Lead the design and deployment of applied machine learning models for infrastructure and engineering, owning the full lifecycle from problem formulation to production iteration. Work spans optimisation, simulation and scientific ML, partnering with MLOps, software and domain experts to embed AI into a SaaS platform, with mentoring and technical leadership duties.

PyTorch · TensorFlow · scikit-learn

• London
• Hybrid · 3 days in office
• Senior
• Permanent

Builds and operates production ML systems for document classification and extraction, using LLMs/VLMs and traditional ML to process government identity documents at scale. Owns features from RFC through deployment, optimising GPU inference and training/evaluation pipelines in a Python, AWS and Kubernetes stack, while mentoring engineers and leading technical design.

TensorFlow · PyTorch · Triton +5

• 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

• Lisbon, Portugal
• Hybrid · 3 days in office
• Senior
• Permanent

Builds and operates production ML systems for document classification and extraction, covering training, evaluation and deployment pipelines for LLM/VLM models, GPU inference optimisation and advanced labelling workflows. Leads technical design from RFC to production, mentors engineers and works across Applied Science, Product and Data Science in a squad-based team.

TensorFlow · PyTorch · Triton +4

• London
• Hybrid · 3 days in office
• Senior

Join a newly formed LLM Engineering team to architect, implement and own systems bringing large language models into scientific and business processes. Work spans LLM serving stacks, agentic infrastructure, RAG, evaluation frameworks and fine-tuning, partnering with researchers to translate scientific needs into technical AI specifications.

vLLM · GCP · MCP