392 jobs for “Machine Learning Engineer”
ITOL Recruit London £30,000 – £45,000 pa
A 15-step online, self-paced AI traineeship covering Python, data fundamentals, machine learning, prompt engineering, RAG, and Hugging Face projects, ending with an AWS Certified Cloud Practitioner exam. It is a paid training course with a job guarantee rather than a direct employer role, offering tutor and recruitment support to place candidates into junior AI engineer positions.
ITOL Recruit Hounslow £30,000 – £45,000 pa
A 15-step online, self-paced AI traineeship covering Python, neural networks, LLMs, prompt engineering, RAG, machine learning with scikit-learn, and data ethics, ending with an oral exam and AWS Cloud Practitioner certification. It includes real-world projects such as a Streamlit car price app and a Hugging Face sentiment classifier, plus 1-to-1 tutor and recruitment support with a job guarantee.
Isomorphic Labs London
A general expression-of-interest pipeline for experienced software engineers, ML researchers and engineers, computational chemists and technical program managers. The interdisciplinary team builds predictive and generative AI models for drug design, working across therapeutic areas and modalities. The role follows a hybrid model requiring three days a week in the London office.
Isomorphic Labs London
Lead pharmacology and translational biology strategy for large-molecule biologics, designing in vivo efficacy and complex in vitro functional assays and acting as Biology Lead on discovery projects. Coordinate internal workflows and external CROs to drive go/no-go decisions, while feeding pharmacology data back into generative AI design loops with ML and computational biology teams.
Relation Therapeutics London
Develops and benchmarks machine learning models for DNA sequence, regulatory elements and genetic variation, including variant effect prediction and representation learning. Integrates sequence-derived representations with transcriptomic, epigenomic and perturbational data to uncover disease mechanisms and support target prioritisation, working within the interdisciplinary Rosalind team.
Relation Therapeutics London
Drive imaging data science for a TechBio company, curating training-ready cell painting and brightfield datasets and designing evaluation frameworks that separate biological signal from technical artefact. Partner with wet lab assay teams from plate design to data delivery, interpret foundation-model behaviour on cellular imaging, and link imaging readouts to single-cell and perturbation data.
VIQU IT London £90,000 – £95,000 pa
Owns the end-to-end architecture of an enterprise AI platform spanning Azure and AWS, covering ML training, model hosting, MLOps and Generative AI. Defines patterns for LLMs, RAG, vector search and agent frameworks, evaluates tooling, and provides technical direction to ML and platform engineers while embedding security, governance and regulatory requirements.
OpenAI London
Conducts research on safety post-training methods such as RLHF, RLAIF, DPO, PPO, reward modeling, adversarial training and synthetic data, then builds evaluations for harms like jailbreaks, hallucination and policy adherence. Works cross-functionally with core training, product, policy, legal and trust and safety teams to ship safety improvements into production models.
Latent Labs London
Work at the interface between frontier generative models and pharmaceutical/biotech customers, deploying, adapting and fine-tuning models in customer environments. Build production-grade API integrations, model-serving infrastructure and ML data pipelines, while acting as technical point of contact for partners. Combines deep ML research with customer-facing delivery in an interdisciplinary team.
eFinancialCareers London
Joins a proprietary trading firm's research team to build machine learning and statistical models for quantitative and trading applications, working with large, noisy, high-dimensional datasets. Involves time-series, Bayesian, deep learning and reinforcement learning approaches, rigorous experiment design, and collaboration with quant researchers, traders and engineers to move models toward production.
Tenth Revolution Group London £85,000 – £110,000 pa
Designs and evolves AWS-based data architectures while supporting AI, machine learning and agentic AI initiatives. Drives data governance, observability, quality and lineage standards, acting as a trusted technical advisor to customers and shaping architecture, tooling and best practices across the platform.
Bowers Partnership London £825 pd
Hands-on VP-level data scientist building generative AI, LLM/NLP and statistical modelling products end to end, from prototype to production, for a boutique investment bank's M&A and advisory bankers. Works in a small team, writing production-quality Python and explaining models and assumptions directly to senior non-technical stakeholders. M&A experience is essential; hybrid with at least three days a week in the London W1 office.
NVIDIA Bristol
Research and develop techniques to GPU-accelerate deep learning, machine learning and other AI workloads, working with technical experts from industry and academia to analyse and optimise complex AI and HPC algorithms on modern CPU and GPU architectures. The intern also publishes optimisation techniques via developer blogs or conferences and helps influence next-generation hardware, software and programming models.
University of Exeter Penryn £21,805 pa
Develops physics-aware spatio-temporal graph neural networks for 0–6-hour visibility forecasting, focusing on low-visibility events in southeast England. The work spans six packages, from benchmarking NWP and ML baselines to linking learned representations with atmospheric physics, testing robustness to degraded observations, and operational evaluation with Met Office scientists.
University of Birmingham Birmingham £21,805 pa
Develops a physics-informed AI framework to design and optimise alternative cooling mechanisms and refrigeration cycles, integrating thermodynamic modelling, machine learning and multi-objective optimisation. Experimental work validates selected combinations, with scope to balance computational and lab effort. Based in the School of Chemical Engineering alongside sustainable cooling and energy storage research centres.
