Yarnton, Kidlington, Oxfordshire, England, United Kingdom Hybrid / WFH Options
Noir
Machine Learning Engineer Machine Learning Engineer - AI for Advanced Materials - Oxford/Remote (UK) (Tech stack: Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, AWS, Azure, GCP, Pandas, NumPy, SciPy, CI/CD, MLOps, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform) We're looking for a Machine Learning Engineer to join a rapidly scaling deep-tech company … right in. Our client is seeking Machine Learning Engineers with experience in some or all of the following (full training provided to fill any gaps): Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, Pandas, NumPy, SciPy, CI/CD, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform, Azure, AWS, GCP, Git, and Agile methodologies. Join a team that More ❯
Role Machine Learning Engineer Location - London (Hybrid) Salary - £80K - £100K Role Type Permanent Myn is an AI driven marketplace that connects the candidates, clients and recruiters. Myn collaborates with leading employers to offer exclusive, carefully matched permanent positions. Overview Are More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Robert Half
Robert Half Technology are assisting a market-leading pharmaceuticals organisation to recruit an AI Engineer on a contract basis. Outside IR35. Hybrid working - London based. Role * The AI Engineer will design, develop, and implement AI and machine learning solutions to More ❯
Greater Oxford Area, United Kingdom Hybrid / WFH Options
Hlx Life Sciences
MLOps Platform Engineer Location: Oxford, UK (Hybrid) Organisation: Global AI & Health Innovation Programme Employment Type: Full-time | Permanent About the Role We are seeking a MLOps Platform Engineer to design, implement, and scale the infrastructure that supports high-performance machine More ❯
banbury, south east england, united kingdom Hybrid / WFH Options
Hlx Life Sciences
MLOps Platform Engineer Location: Oxford, UK (Hybrid) Organisation: Global AI & Health Innovation Programme Employment Type: Full-time | Permanent About the Role We are seeking a MLOps Platform Engineer to design, implement, and scale the infrastructure that supports high-performance machine More ❯
This is a unique opportunity to work at the cutting edge of AI, data technology, and elite football analytics. As a Data Scientist, you’ll join a collaborative, high-performing team with a culture rooted in creativity, innovation, and excellence. More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Singular Recruitment
This is a unique opportunity to work at the cutting edge of AI, data technology, and elite football analytics. As a Data Scientist, you’ll join a collaborative, high-performing team with a culture rooted in creativity, innovation, and excellence. More ❯
london, south east england, united kingdom Hybrid / WFH Options
Singular Recruitment
This is a unique opportunity to work at the cutting edge of AI, data technology, and elite football analytics. As a Data Scientist, you’ll join a collaborative, high-performing team with a culture rooted in creativity, innovation, and excellence. More ❯
london (city of london), south east england, united kingdom Hybrid / WFH Options
Singular Recruitment
This is a unique opportunity to work at the cutting edge of AI, data technology, and elite football analytics. As a Data Scientist, you’ll join a collaborative, high-performing team with a culture rooted in creativity, innovation, and excellence. More ❯
slough, south east england, united kingdom Hybrid / WFH Options
Singular Recruitment
This is a unique opportunity to work at the cutting edge of AI, data technology, and elite football analytics. As a Data Scientist, you’ll join a collaborative, high-performing team with a culture rooted in creativity, innovation, and excellence. More ❯
and ship ML and LLM features in a regulated environment with sensitive data. You’ll work with engineering to move models from idea to production. Tech Stack: Python, scikit-learn, PyTorch, TensorFlow/Keras, LangChain, Pydantic, Spark, Kafka, Databricks, MLflow, Azure, Docker, Kubernetes. Salary: Up to £100k Working Environment: Fully Remote in UK What you’ll do Research … prototype, and deploy LLM use cases (Q&A, summarisation, document processing) Build and tune models using scikit-learn, PyTorch, TensorFlow/Keras, and XGBoost Create data pipelines for batch and streaming with Spark and Kafka Use Databricks and MLflow for experiments, deployment, and monitoring What you’ll bring Hands-on Python for data science and ML Practical experience More ❯
Erskine, Renfrewshire, Scotland, United Kingdom Hybrid / WFH Options
DXC Technology
junior team members. Support senior team members in identifying and addressing data science opportunities. Required Skills & Experience Strong proficiency in Python and ML libraries such as: pandas, NumPy, scikit-learn XGBoost, LightGBM, CatBoost TensorFlow, Keras, PyTorch Experience with model deployment and serving tools: ONNX, TensorRT, TensorFlow Serving, TorchServe Familiarity with ML lifecycle tools: MLflow, Kubeflow, Azure ML Pipelines … control (e.g., Git). Excellent problem-solving skills and ability to work independently or in a team. Strong proficiency in Python and ML libraries such as: pandas, NumPy, scikit-learn XGBoost, LightGBM, CatBoost TensorFlow, Keras, PyTorch Experience with model deployment and serving tools: ONNX, TensorRT, TensorFlow Serving, TorchServe Familiarity with ML lifecycle tools: MLflow, Kubeflow, Azure ML Pipelines More ❯
We are seeking a curious, creative and motivated individual who rises to the challenges of building an innovation-driven, early-stage MedTech spin-out to change the future of surgery and play a significant role in developing next-generation core More ❯
Senior Data Scientist – Media - London - up to £110k Are you a pro at building and deploying ML models? Are you tired of just tinkering with the latest tech without actually making a real impact on business problems? Maybe you'd More ❯