7 of 7 Machine Learning Jobs in Northamptonshire

real-world experience on live projects with all the support you need to succeed. We are looking for someone who already has a strong technical foundation in AI and Machine Learning, whether you’ve gained it through self-study, previous work or hands-on projects and who is ready to apply this to practical, real-world challenges in … a number of potential applicant routes. Do you fall into ANY of the following categories: Technically strong in computer science, AI, data science or related fields. A self-taught ML/AI practitioner with demonstrable personal or professional projects. An early-career technologist looking to gain a formal qualification while working on meaningful, real-world applications. Required skills: Solid foundation … in AI/ML principles (e.g. neural networks, NLP, transformers, speech processing). Hands-on experience with Python and popular ML frameworks (e.g. PyTorch, TensorFlow, Hugging Face). Familiarity with LLM APIs and open-source models (e.g. GPT, Claude, Mistral, Whisper). Familiarity with agentic AI frameworks (LangChain, AutoGen, CrewAI, OpenAI Functions). Interest in human-centred design, service delivery More ❯

candidates across the UK. This role sits within their specialist AI Practice - focused on providing cutting-edge solutions for their clients using the latest AI tech including Gen-AI, Machine Learning, Open AI, Co-Pilot etc. You'll work as part of an Agile team, working directly with a range of clients to understand their business needs, design More ❯

candidates across the UK. This role sits within their specialist AI Practice - focused on providing cutting-edge solutions for their clients using the latest AI tech including Gen-AI, Machine Learning, Open AI, Co-Pilot etc. You'll work as part of an Agile team, working directly with a range of clients to understand their business needs, design More ❯

on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job More ❯

highly valued skills may include: Experience with API testing and integration testing. Familiarity working with Infrastructure as Code with one of the Hyperscales - AWS preferred. Familiarity with AI/ML Technologies and Conversation Interfaces. You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking More ❯

Zoho CRM and other Zoho applications, including configuration and basic automation Assist with onboarding/offboarding, permissions, and SaaS admin across the business Work with developers, solution architects, and machine learning specialists to escalate and solve technical issues Build your skills in areas like low-code scripting (Deluge) and process automation What We’re Looking For: Hands-on … Strong communicator with great troubleshooting instincts Able to manage multiple priorities in a fast-moving environment A team player with a positive, can-do attitude and a thirst for learning What’s on Offer: £30,000 per annum (DOE) Uncapped annual bonus (typically 5%-15% of salary) Supportive team, great internal tech exposure, and growth opportunities in low-code More ❯

management and governance tools (e.g. Lambda, Auto Scaling, VPC, EC2, KMS, IAM, CloudFormation, CloudWatch, CloudTrail, S3, DynamoDB, RDS, Glue, Athena, Lake Formation, Redshift Experience supporting analytics use cases from ML Ops and data hydration perspective Ability to drive the projects technically to completion, identify risks, costs , challenge architecture and long-term sustainability Understands different project methodologies, project lifecycles, major phases … collaboration with product managers, architects, and other engineers to define IT Infrastructure requirements, devise solutions, and ensure seamless integration and alignment with business objectives via a data driven approach. Learning: Stay informed of industry technology trends and innovations, and actively contribute to the organization's technology communities to foster a culture of technical excellence and growth. Assistant Vice President More ❯