London, South East, England, United Kingdom Hybrid / WFH Options
Sanderson
MachineLearningEngineer £700-750/day overall assignment rate to umbrella Fully remote 6 month initial A FTSE 100 retail client are on the look for a Data Scientist/MachineLearningEngineer to join their data science function to drive cutting-edge ML technology across the business. MachineLearningEngineer, key skills: Significant experience working as a Data Scientist/MachineLearningEngineer Solid knowledge of SQLandPython's ecosystem for data analysis (Jupyter, Pandas, Scikit Learn, Matplotlib). GCP, VertexAI experience is desirable (developing GCP machinelearning services) Timeseries forecasting Solid understanding of computer science fundamentals, including data structures, algorithms, data modelling and software … architecture Strong knowledge of MachineLearning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, etc.) as well as state-of-the-art research area (e.g. NLP, Transfer Learning etc.) and modern Deep Learning algorithms (e.g. BERT, LSTM, etc.) MachineLearningEngineer, timeseries, forecasting, VertexAI, GCP Reasonable Adjustments: Respect and equality are core values to More ❯
MachineLearningEngineer £60000 - 90000 GBP Onsite WORKING Location: Central London, Greater London - United Kingdom Type: Permanent MachineLearningEngineer - Defence & National Security Locations: Poole | Hereford | Remote (UK-wide with travel) £60,000 - £90,000 + benefits Our client is a specialist AI consultancy delivering safe, impactful, and human-centric AI solutions to government … of supporting hundreds of global customers, they are at the forefront of applied AI - taking cutting-edge research into real-world deployment at scale. They are now hiring a MachineLearningEngineer to join their Defence & National Security team. This role offers the opportunity to design, build, and operationalise production-grade AI systems that directly impact high … stakes projects in the UK. What you'll be doing Designing, building, and deploying software, infrastructure, and MLOps systems that leverage machine learning. Working in cross-functional teams with engineers, data scientists, product managers, and designers. Developing scalable, reusable tools that accelerate ML delivery. Providing technical expertise to customers and mentoring junior engineers. Contributing to the scope, design, and More ❯
Senior MachineLearningEngineer £90000 - 100000 GBP Onsite WORKING Location: Central London, Greater London - United Kingdom Type: Permanent MachineLearningEngineer - 6-Month FTC £90,000 - £110,000 UK-wide (Hybrid: London client-site) Our client is a leading AI consultancy and software company delivering impactful, human-centric AI solutions to government, industry, and … With a proven track record across critical national projects, they combine deep technical expertise with a pragmatic approach to solving complex, high-stakes problems. They are now seeking a MachineLearningEngineer to join their London Government team on a 6-month fixed-term contract . This role offers the opportunity to design, build, and deploy production … part of a high-calibre team with exposure to cutting-edge thinking in AI engineering. This is a role for someone who wants to move beyond experimentation and bring machinelearning into live production systems where it makes a measurable difference to public services. If you have the technical capability, the clearance, and the drive to deliver meaningful More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Lorien
Machine Learnig Engineer Hybrid Working - UK Wide - 1 day a quarter on site. Financial Services Lorien's leading banking client is looking for a MachineLearningEngineer to join the growing data science and AI team. You'll play a key role in designing, developing, and deploying scalable machinelearning solutions using Python … This role is based UK Wide. This role will be Via Umbrella. Working in a Hybrid Model of 1 day a week on site. Key Responsibilities Design and implement machinelearning models for classification, regression, and forecasting tasks. Build and manage end-to-end ML pipelines using Amazon SageMaker . Collaborate with data scientists, engineers, and product teams … its ML/data libraries (e.g., NumPy, pandas, scikit-learn, TensorFlow or PyTorch). Hands-on experience with Amazon SageMaker , including training, tuning, and deploying models. Solid understanding of machinelearning algorithms and statistical methods. Experience with cloud platforms (AWS preferred). Familiarity with CI/CD practices and version control (Git). Excellent problem-solving and communication More ❯
manufacturing. With a global presence and a growing UK footprint, this company is renowned for pushing boundaries and delivering innovation across high-impact sectors. Your new role As a MachineLearningEngineer, you'll be instrumental in designing and validating novel ML models to optimise manufacturing processes and material compositions. You'll collaborate with cross-functional teams … What you'll need to succeed Essential Skills: * Bachelor's degree (2:1 or above) in science, engineering, mathematics, or computer science * Strong Python development skills * Practical experience with machinelearning or deep learning in scientific/engineering contexts * Familiarity with MLOps tools and practices (Airflow, MLflow) and containerisation (e.g., Docker) * Passion for working with real-world … visualisation * Interest in material discovery, computer vision, big data, and optimisation techniques * Excellent communication and collaboration skills * Problem-solving mindset and self-motivation Desirable Skills: * Master's degree in machinelearning, mathematics, or statistics * Understanding of probabilistic and Bayesian modelling * Knowledge of software design principles and object-oriented programming * Experience with cloud platforms (Azure, AWS, GCP) and infrastructure More ❯
MachineLearningEngineer London £100,000-£150,000 An elite, high-growth investment firm with a global presence is looking to expand its MachineLearning team in London. With backing from major institutional capital and a strong track record in global macro strategies, the firm is scaling its data and AI capabilities to support ambitious More ❯
Lead MachineLearningEngineer Up to £100,000 Company: They are an AI-driven climate risk analytics platform that partners with businesses within Insurance, Private Equity, Asset Management and governments to understand and prepare for the physical and transitional impacts of climate change. Responsibilities: Lead, mentor, and grow a high-performing team of ML engineers. Combine ML More ❯
Lead MachineLearningEngineer Up to £100,000 Company: They are an AI-driven climate risk analytics platform that partners with businesses within Insurance, Private Equity, Asset Management and governments to understand and prepare for the physical and transitional impacts of climate change. Responsibilities: Lead, mentor, and grow a high-performing team of ML engineers. Combine ML More ❯
london (city of london), south east england, united kingdom
Harnham
Lead MachineLearningEngineer Up to £100,000 Company: They are an AI-driven climate risk analytics platform that partners with businesses within Insurance, Private Equity, Asset Management and governments to understand and prepare for the physical and transitional impacts of climate change. Responsibilities: Lead, mentor, and grow a high-performing team of ML engineers. Combine ML More ❯
Staff Engineer – Optimisation and MachineLearning London (Hybrid – 3 days in office) | Permanent I’m looking to speak to Principal Optimisation Engineers who would be interested in solving complex optimisation that will benefits organisations globally in the Life Sciences industry. You will be working on problems that actually matter, building systems that help scientists run better experiments More ❯
We are looking for an excellent ML Ops Engineer to join our research and development team. Key Responsibilities This opportunity is to join the ML Operations teams which supports the ML Development team in building leading-edge motion capture products through provisioning and maintaining a modern ML Operations stack. This stack covers data acquisition pipelines, data management and ML More ❯