5 of 5 Contract Deep Learning Jobs

Machine Learning Engineer

Hiring Organisation
Experis
Location
United Kingdom
Employment Type
Contract
Contract Rate
£740 - £770 per day
Machine Learning Engineer Rate: £770 per day (Inside IR35) Location: Osterley, West London (Hybrid - 2 days per week onsite) Clearance Required: BPSS The Opportunity We're looking for an experienced Machine Learning Engineer to join a high-performing data and AI team, focused on building and deploying machine … learning solutions that deliver highly personalised user experiences at scale. This is an exciting opportunity to work on cutting-edge recommendation systems, ranking models, user segmentation, and content analysis capabilities, helping to drive data-driven decision-making and product innovation. Key Responsibilities Machine Learning Development Design, build, train ...

Machine Learning Engineer

Hiring Organisation
Synergize Consulting Limited
Location
Isleworth, London, United Kingdom
Employment Type
Contract, Work From Home
Contract Rate
£745 per day Inside IR35
currently hiring for a Machine Learning Engineer - for an initial 3-6 months contract assignment. (Duration is very likely to extend). This is a hybrid working role with 2 days on site in Osterley, West London. Inside IR35 Description and Location Machine learning engineers act as critical … members of the data science team. Their tasks involve researching, building, and designing the artificial intelligence responsible for machine learning and maintaining and improving existing artificial intelligence systems. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation ...

Full Stack Engineer

Hiring Organisation
Response Informatics
Location
South East London, London, United Kingdom
Employment Type
Contract
Application Development & Integration Full-stack software engineering expertise across Java, Python, .NET, JavaScript/TypeScript, Node.js, React, Angular, and modern web technologies. Deep experience in API development, Microservices, Event-Driven Architectures, Enterprise Integration, and Distributed Systems design. Cloud, Platform Engineering & Infrastructure Expertise in Azure, AWS, and GCP with strong … Terraform, Ansible), observability, monitoring, and automated deployment pipelines. Strong understanding of Secure SDLC, release engineering, operational excellence, and platform automation. AI, Generative AI & Machine Learning Expertise in Generative AI, Machine Learning, Deep Learning, and Agentic AI solutions using OpenAI, Azure OpenAI, Anthropic, Gemini, Llama, Mistral, HuggingFace ...

ML Engineer

Hiring Organisation
Sanderson Government and Defence
Location
London, United Kingdom
Employment Type
Contract
Contract Rate
£725 - £750 per day
days onsite) | BPSS Required We're looking for an experienced ML Engineer to join a high-profile programme focused on delivering advanced machine learning and personalisation solutions at scale. This is an excellent opportunity to work with large datasets, cutting-edge ML technologies, and cross-functional teams to build … impactful customer-facing products. Key Responsibilities Design, build, train and optimise machine learning models focused on personalisation, recommendation engines, ranking algorithms, user segmentation and content analysis. Develop and maintain scalable data pipelines to support feature engineering, model training and deployment across large structured and unstructured datasets. Deploy, monitor ...

ML Engineer

Hiring Organisation
Damia Group LTD
Location
London, United Kingdom
Employment Type
Contract
Contract Rate
GBP 600 - 700 Daily
days per week in London - 12 months + My client is a global leading IT consultancy. They are on the hunt for a Machine Learning Engineer to join their client on a long term project. Responsibilities: Development: Design, train, and optimise machine learning models focused on user personalisation …/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential ...