or AI domains Proven track record of leading complex AI projects in an agile environment Strong technical proficiency with modern ML tools and frameworks: PyTorch, TensorFlow, SparkMLLib, SciPy, Scikit-Learn, NLTK (etc) MLflow or similar ML lifecycle tools Experience with AI governance and responsible AI practices Understanding of public sector data requirements and compliance Outstanding communication and stakeholder More ❯
similar roles, with at least 2 years in fintech, payments, or financial services. Solid grounding in statistics, machine learning, and data engineering principles. Experience with Python (e.g., pandas, scikit-learn, seaborn) and SQL (Postgres preferred) for advanced data manipulation. Familiarity with the modern data stack (Databricks). Strong track record of delivering commercial and operational impact through data More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Sanderson
business. Machine Learning Engineer, key skills: Significant experience working as a Data Scientist/Machine Learning Engineer Solid knowledge of SQLandPython's ecosystem for data analysis (Jupyter, Pandas, ScikitLearn, Matplotlib). GCP, VertexAI experience is desirable (developing GCP machine learning services) Timeseries forecasting Solid understanding of computer science fundamentals, including data structures, algorithms, data modelling and software More ❯
Arlington, Virginia, United States Hybrid / WFH Options
ECCO Select
evaluation of multi-agent or tool-using architectures where applicable. - Build proof-of-concepts and production-level ML services using modern libraries such as Hugging Face Transformers, spaCy, Scikit-learn, etc. - Integrate ML systems into scalable data architectures in collaboration with data engineers and software teams. - Utilize frameworks like LangChain, Haystack, or equivalent for RAG-based solutions, working … developing ML models and working with structured/unstructured data. - Familiarity with LLMs, embeddings, or vector search concepts. - Experience with ML/NLP libraries such as Transformers, spaCy, Scikit-learn, or equivalent. - Knowledge of model training, tuning, and evaluation. - Exposure to cloud platforms (AWS, Azure, GCP) and data storage systems (e.g., PostgreSQL, S3). - Understanding of software development More ❯
Senior Data Scientist - Consumer Lending Hybrid working - London Offices Negotiable to £75,000 DEO + Benefits Reference - J12979 Our client is an innovative UK based consumer finance business, with a digital credit card launched in 2018, and a pipeline of More ❯
Overview Staines, United Kingdom Posted on 15/09/2025 About the Role As an AI Apprentice, you will have the unique opportunity to learn directly from our team of AI researchers, engineers, and data scientists. This role 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 ❯
Cheltenham, Gloucestershire, South West, United Kingdom Hybrid / WFH Options
Anson Mccade
Senior Machine Learning Engineer £90000-110000 GBP Hybrid WORKING Location: Gloucester, South West - United Kingdom Type: Permanent Senior Machine Learning Engineer - Defence & Security £90,000 - £110,000 | Gloucester Area | Hybrid (2-3 days on-site as required) To be eligible More ❯
Senior Machine Learning Engineer £90000 - 100000 GBP Onsite WORKING Location: Central London, Greater London - United Kingdom Type: Permanent Machine Learning Engineer - 6-Month FTC £90,000 - £110,000 UK-wide (Hybrid: London client-site) Our client is a leading AI 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 ❯
About Lyst Lyst is a global fashion shopping platform founded in London in 2010 and catering to over 160M shoppers per year. We offer our customers the largest assortment of premium & luxury fashion products in one place, curating pieces from More ❯