20 of 20 Machine Learning Jobs in Northamptonshire

Machine Learning Research Engineer - NLP/LLM An incredible opportunity for a Machine Learning Research Engineer to work on researching and investigating new concepts for an industry-leading, machine-learning software company in Cambridge, UK. This unique opportunity is ideally suited to those with … cutting-edge, machine-learning software A good remuneration and benefits package Applications If you would like to apply for this unique ML Engineer opportunity, we would love to hear from you. Please send an up-to-date CV via the relevant link. We're committed to creating ...

systems that optimise ad selection, campaign performance, and creative personalisation at a global scale. You will work in a highly collaborative environment with ML scientists and software engineers to deliver impactful solutions for the advertising domain. In this role, you will: Design, implement, and maintain large-scale machine … engineering, model training, validation, and deployment. Build real-time and batch data processing systems to support ad targeting, campaign optimisation, and experimentation. Collaborate with ML scientists and software engineers to integrate ML models into production systems and deliver measurable business impact. Develop APIs and services that enable ML-driven advertising ...

limit and you'll help us get there. Key Responsibilities Stay up to date with the state-of-the-art in Artificial Intelligence and Machine Learning, and apply it to the problem of Enterprise Vibe Coding; Make use of techniques such as In-Context Learning (Prompt Engineering … practice in a large-scale project. Qualifications/What You Need To Succeed Ph.D. or MSc degree in Computer Science, Electrical Engineering, Artificial Intelligence, Machine Learning, or related technical fields is highly valued. 7+ years of work experience in Machine Learning and AI Engineering roles, preferably ...

quality hands-on coding. Contribute to strategic initiatives including: A new customer self-service portal Automation of credit and lending workflows; Data engineering and machine learning model deployment for lender matching and risk profiling; Continuous improvement of API and data architecture for scalability. About ...

Digital Operational Resilience Act (DORA) ETL testing with Azure Data Factory and advanced proficiency in SQL Experienced in advanced AI/ML approaches for improving quality efficiency Senior QE/QA leadership experience within Banking or Financial Services Proven ownership of enterprise quality strategy (not just delivery) Strong experience across ...

motivated, able to own and independently manage large projects Desirable Skills: * Familiarity with Full stack development including Vue3, Typescript and Django AWS EKS deployments Machine learning model development Agentic AI pipeline development Some understanding on mechanical design processes and tools, specifically FEA and CFD for aerothermal design. Including ...

enterprises solve their biggest workforce challenges: skills gaps, internal mobility, and retention. We replace static spreadsheets with a dynamic, 'skills-first' engine that uses machine learning to map career paths and match employees to opportunities. It's personal for us – most of our team have faced and overcome ...

MLOps workflows. · Work across internal products and contract-based venture projects. Requirements · Strong foundational programming skills in Python. · Basic understanding of AI/ML models and how they are trained, deployed, and run. · Familiarity/understanding with version control software (git). · Ability to work in a fast-moving environment ...

including version control, testing, code review, and CI/CD processes. Mentor and guide existing developers, providing technical leadership & promoting a culture of continuous learning and improvement. Develop & maintain scalable cloud-based solutions using AWS services such as Lambda, S3, Redshift, Glue. Create and manage API integrations. Build … backend logic, particularly in support of analytics and integration tasks. Continuously review and optimise existing codebases for performance, scalability, and maintainability. Work alongside CRM, Machine Learning, and Data teams. Provide technical oversight and support for complex issues. If you have both hands on technical & leadership experience within ...

scalable, secure, reliable, and enterprise-ready. Key Responsibilities Own the full platform architecture, including ingestion, scoring, data stores, APIs, and dashboards. Lead AI/ML-powered enrichment and scoring systems. Build and scale microservices, event-driven pipelines, and automated intelligence workflows. Harden cloud infrastructure and implement security, compliance ...

CVPR, ICCV, or ECCV and is eager to apply that experience in a fast-paced, applied R&D environment. Requirements PhD in Computer Vision, Machine Learning, Robotics, or a related field. Strong research background in object detection, tracking, segmentation, or visual understanding, VLM's, VLA's Proven record … publications in CVPR, ICCV, ECCV, or comparable conferences. Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow. 1-3 years industry experience. What We Offer Competitive salary and equity package. Access to high-performance computing infrastructure. Opportunities for publication, collaboration, and attending top-tier conferences. ...

enterprises solve their biggest workforce challenges: skills gaps, internal mobility, and retention. We replace static spreadsheets with a dynamic, 'skills-first' engine that uses machine learning to map career paths and match employees to opportunities. It's personal for us – most of our team have faced and overcome ...

Process: Intro call where we talk about the role. Technical discussion with the Head of AI. Deep-dive session with a Backend Engineer and ML Engineer from the team. 30-minute conversation with the Founder. Why This Is Worth Your Time Real ownership: You'll be the architect behind ...

business workflows, improve data visibility, and enhance productivity. Optimise and refactor existing code to improve performance, scalability, and maintainability. Work closely with the CRM, Machine Learning, and Support teams to deliver impactful solutions to the wider business. Provide second-line technical support for scripting and development-related issues. ...

insights — and are seeking an AI Engineering Lead to define and deliver this vision. Job Summary & Purpose Own and drive Akixi's AI and ML strategy — from concept and architecture through hands-on prototyping and deployment — to embed intelligence into Akixi's products and analytics platforms. As the AI Engineering … roadmap. Architect scalable AI solutions integrated into Akixi's SaaS analytics platform. Prototype, develop, and integrate AI-driven components such as chatbots, voice assistants, ML models, and LLM-based analytics. Apply prompt engineering and model-tuning techniques to optimize chatbot and LLM behaviour. Conduct research, proof-of-concepts, and feasibility ...

Data Science Manager We are seeking a Data Science Manager to lead the development and deployment of advanced analytics and AI/ML solutions. This role involves applying data science techniques to deliver actionable insights and build scalable data products. Key Responsibilities Design and implement AI/ML and Generative … effectively. Requirements Bachelor's or Master's in Data Science, Statistics, Computer Science, or related field. 5+ years of experience in data science and machine learning. Strong proficiency in Python, SQL, and open-source tools. Experience with Generative AI frameworks and production-ready model deployment. Familiarity with cloud platforms ...

media pipelines. Experience with React component libraries, data visualization, or analytics dashboards. Familiarity with additional cloud providers (AWS, GCP). Background in AI/ML, NLP, or speech technologies (STT/TTS). We are looking for a skilled Full-Stack Developer with strong experience in Python and LiveKit … media pipelines. Experience with React component libraries, data visualization, or analytics dashboards. Familiarity with additional cloud providers (AWS, GCP). Background in AI/ML, NLP, or speech technologies (STT/TTS). ...

models, and retrieval-augmented generation (RAG) systems Design evaluation frameworks addressing bias, hallucination detection, and business impact Explore novel AI applications while integrating traditional ML techniques where appropriate Who We're Looking For For Senior Engineers: 5–8+ years building robust, scalable software systems Full-stack development capability across modern … hands-on experimentation with tools like ChatGPT, Claude, GitHub Copilot For Principal Engineers: 8+ years delivering complex, enterprise-grade software Proven AI/ML expertise with production deployment experience Advanced knowledge of transformer architectures, foundation models, and prompt engineering Senior stakeholder engagement experience and ability to lead high-level ...

explore AI-powered features – for example smarter search, recommendations or assistant-style tools for couples – so if you're already playing with AI/ML or keen to develop in this space, they're very open to your ideas. What you'll be doing Designing, developing and maintaining web applications … other React frameworks. Containerisation (Docker) and CI/CD pipelines. Cloud experience (AWS, GCP or Azure). Experience or strong interest in AI/ML/LLMs and how they can enhance product features. Package & working pattern Salary up to £70,000 (flexible for an outstanding match). 2 days ...

panic. Someone who loves questions more than answers... at least at first. You'll be: Leading 0→1 development across AI-first products Turning ML capabilities (Python, TensorFlow, PyTorch) into real customer value Working closely with engineering teams using TypeScript, Node.js, React, and Next.js Partnering with data teams working across … validating concepts at speed You'll thrive if you: Have shipped 0→1 products, not just maintained existing ones Understand how AI/ML actually works in product (beyond buzzwords) Are comfortable in high ambiguity and low ego teams Can move fast without breaking the trust of regulated environments Bring ...