8 of 8 Part-Time Feature Engineering Jobs in the UK

role. \n Our Solutions & AI Labs (SAIL) practice is looking for an experienced Senior Manager to lead consultancy engagements and grow our AI & Solutions Engineering capability. \n The Forward Deployed AI & Solutions Engineer role will lead the delivery of AI-enabled solutions embedded in our clients' teams, combining deep … solutions directly embedded into business processes. We support clients across a number of industries and offer deep expertise in AI/ML, Cloud, Platform Engineering, and Managed Solutions. \n What you will be doing \n As a Senior Manager in SAIL, you will own and lead consultancy engagements ...

data and handing those proofs to engineering. \n About the Role: \n As a Data Scientist at Third Bridge, you will be the engineering-focused prototyping engine within a high-impact data team. Working alongside our senior analytics capability and reporting to the Principal Data Architect, your primary mandate … proof-of-concept (PoC) solutions — from new dataset pipelines and ML models to AI-powered internal tools — and hand off successful proofs to the engineering team for production integration. \n You will work with Third Bridge’s rich proprietary data assets: transcripts, events, interaction data, commercial performance metrics ...

data and handing those proofs to engineering. \n About the Role: \n As a Data Scientist at Third Bridge, you will be the engineering-focused prototyping engine within a high-impact data team. Working alongside our senior analytics capability and reporting to the Principal Data Architect, your primary mandate … proof-of-concept (PoC) solutions — from new dataset pipelines and ML models to AI-powered internal tools — and hand off successful proofs to the engineering team for production integration. \n You will work with Third Bridge’s rich proprietary data assets: transcripts, events, interaction data, commercial performance metrics ...

them with exceptional professionals for this role. \n JOB DESCRIPTION \n As a Software Engineer II - Applied AI in the AI/ML for Engineering team at JPMorganChase, you'll be at the forefront of AI innovation, combining cutting-edge techniques with unique data assets to optimise business decisions … automate processes. This role offers a unique blend of artificial intelligence and software engineering, allowing you to advance engineering processes and build impactful products. In this role, you will leverage the latest research in Large Language Models, Natural Language Processing and statistical machine learning to build AI-powered ...

tools and APIs to connect agents with external services, databases, and internal systems, ensuring robust output parsing and error handling. \n Practice advanced prompt engineering and implement output validation and guardrails to reduce hallucinations. \n Design microservices-based architectures and orchestrate multi-step workflows; instrument agents for tracing, metrics … frameworks such as LangChain, CrewAI, AutoGen, LangGraph. \n Knowledge of generative models including transformers, GANs, VAEs, and diffusion models. \n Understanding of data preprocessing, feature engineering, and model/agent evaluation techniques. \n Familiarity with cloud platforms and containerization technologies. \n Strong problem-solving skills and ability ...

development, implementation, and end-to-end delivery of advanced machine learning models and algorithms to drive market operations initiatives. \n Partner with AI Engineering teams to ensure robust architecture design and deployment patterns for AI/ML models that align with business needs. \n Mentor and guide a team … machine learning lifecycle. \n Proficiency in Python and machine learning frameworks such as PyTorch, TensorFlow, and scikit-learn. \n Strong understanding of data preprocessing, feature engineering, and evaluation techniques. \n Experience working with large, complex datasets and applying statistical analysis. \n Familiarity with cloud platforms (AWS, Azure ...

collaboration skills, with demonstrated experience working across cross-functional teams \n\n Education \n \n Bachelor’s degree or higher in Computer Science, Software Engineering, or a related field. \n\n Responsibilities \n As a Software Engineer specializing in AI systems, you will play a key role in designing … agents using techniques such as retrieval-augmented generation, prompt optimization, fine-tuning, and reinforcement learning \n Develop end-to-end pipelines for data ingestion, feature engineering, model inference (batch and real-time), and integration of AI-driven workflows into production systems \n Collaborate with data scientists and machine ...

JDBC and database internals. \n Experience with CI/CD pipelines and Distributed and Concurrent Systems \n Experience with machine learning basics (data pipelines, feature engineering, recall/precision, familiarity with machine learning systems in production) is a huge plus \n A strong product mindset and passion … practical guide \n DEI @ Wise \n Wise Tech Stack (2025 update) \n See what it's like to work at Wise London! \n Our Engineering career map \n\n Wise Engineering – \n What do we offer: \n \n Starting salary: £87,500 - £111,000 + RSUs \n Wise ...