1 to 25 of 47 Machine Learning Jobs in Northamptonshire

learning models that power data-driven products and business solutions. This role bridges data science and software engineering, focusing on production-ready ML systems, scalability, and performance. The ideal candidate has strong experience in Python, ML frameworks, data pipelines, and cloud platforms, and is comfortable working … unsupervised, and deep learning techniques as appropriate. Perform feature engineering, model tuning, and validation to improve accuracy and performance. 2. Productionisation & Deployment Deploy ML models into production using scalable, reliable architectures. Build and maintain APIs or batch pipelines for model inference. Monitor model performance, data drift, and retraining needs. ...

Machine Learning Engineer | Python | Pytorch | Natural Language Processing | LLM | Large Language Models | Remote, Europe About Us We build AI assistants that make technical knowledge instantly accessible. As a research engineer, you will work on advancing our system's ability to answer increasingly complex technical questions. Our technology … techniques (e.g., lexical search, dense vector search) Comfort working in a fast-moving environment with ambiguous problem spaces A desire to learn more about ML research Please note that this position is fully remote in Europe but you MUST have the right to work in your country of residence. Machine ...

Machine Learning Engineer Location: Remote - UK Permanent Salary: £90-100K per year + benefits Start Date: Immediate WRK digital is proud to partner with a fast-growing technology startup building solutions that combine human expertise and AI agents to automate complex operational workflows. The organisations mission … Virtual Agent platform in line with product strategy. · Ensure AI services maintain high standards of performance, reliability, and scalability. · Participate in internal ML community, influencing how we implement AI and computer vision technologies. · Take ownership of customer outcomes and contribute across software engineering, DevOps, and MLOps functions. About ...

Director of AI | Machine Learning | Deep Learning | Natural Language Processing | Large Language Models | Leadership | Remote, UK Role Overview As the AI Director at a fast-growing, well-funded technology startup, you will lead the strategy, research, and implementation of the company's AI initiatives, driving the technical … LLMs, agents, and related fields, converting research insights into actionable roadmap items. Qualifications Deep LLM/Generative AI Expertise 7+ years in AI/ML with 3+ years focused on LLMs, generative AI, and agent systems, including hands-on experience with transformer architectures, fine-tuning, and production deployments. Proven Product ...

seeking a hands-on Machine Learning Senior Staff Engineer to lead cross-functional teams building and deploying cutting-edge LLM and ML systems. In this role, you'll drive the full lifecycle of AI development — from research and large-scale model training to production deployment — while mentoring … that break the models and navigating the intersection of research, engineering, and product delivery. Roles & Responsibilities: Lead and mentor a cross-functional team of ML engineers, data scientists, and MLOps professionals. Oversee the full lifecycle of LLM and ML projects — from data collection to training, evaluation, and deployment. Collaborate with ...

Engineer (ASR & NLP) We're supporting a growing AI Product building advanced speech tools. They need a hands-on strategic Senior or Lead ML Engineer with expert Automatic Speech Recognition (ASR) experience to modernise core voice architecture and bring next-gen speech products to life. This role suits someone … complex ASR data formatting (e.g. alphanumerics, voice-specific cases) Influence roadmap and product vision What We're Looking For Senior, Principal or Lead level ML Engineer Expert in Automatic Speech Recognition & Natural Language Processing Experience in enterprise-grade voice/speech products Skilled in model optimisation, multilingual pipelines & data handling ...

1.5 hours per session) Deliver practical, industry-aligned training on: Python for Data Science Statistics & Probability Exploratory Data Analysis (EDA) Data Visualization (Matplotlib, Seaborn) Machine Learning (Supervised & Unsupervised) Model Evaluation & Optimization Guide learners through hands-on projects and case studies Support learners during doubt-resolution and interactive discussions … required Ensure session recordings and learning quality standards are maintained Required Skills & Qualifications 4+ years of experience in Data Science/Analytics/ML Strong proficiency in Python, Pandas, NumPy, Scikit-learn Solid understanding of statistics, ML algorithms, and data workflows Prior experience in training, mentoring, or teaching (preferred ...

security posture and compliance. OR Elasticsearch for large-scale data management Deep experience with at least two of the following: Machine Learning (ML) for anomaly detection; Cross-Cluster Replication (CCR) for disaster recovery/HA; Searchable Snapshots/Cold/Frozen Tiers for cost optimization; or advanced ...

will be the principal technical leader, driving strategy, setting standards, and delivering high-impact solutions that transform business outcomes. Key Responsibilities AI/ML Strategy & Architecture: Define the technical roadmap and architectural standards for deploying and scaling complex AI systems, particularly those involving Generative AI (GenAI), large language models (LLMs … using Apache Spark (Scala) and Hive on massive datasets to support model training and inference. Cross-Cloud Execution: Lead the design and deployment of ML models and data infrastructure across multiple major cloud providers (AWS, Azure, and GCP), ensuring portability, scalability, and cost efficiency. Specialized Model Development: Lead hands ...

there are no surprises Building things that actually work Once the problem and value are clear, you will design and deliver production ready ML and GenAI solutions. That includes: Designing and building data pipelines, batch or streaming, that support the desired outcomes Working with engineers and architects so your work … protect value over time: Experiment tracking and model versioning so you know what works and can roll back safely CI/CD pipelines for ML so improvements reach users quickly and reliably Monitoring and alerting for models and data so you can catch issues before they damage trust or results ...

Product Manager –Platform Intelligence, AI/ML As Product Manager for the Platform Intelligence team at Accelerant, you will define and lead the AI/ML product strategy across the Accelerant Risk Exchange platform. You'll work closely with Design, Engineering, and Decision Science to build tools that help participants … critical part in enabling Accelerant to be a product-led organization. What You'll Do Strategy & Discovery Define and evolve the AI/ML strategy for our Risk Exchange platform in alignment with company objectives. Identify new ways to apply statistical and machine learning models to support risk ...

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 ...

hands-on delivery of technical solutions. Proven track record of delivering and managing innovation programs, AI solutions is a plus. Strong understanding of Machine Learning, cloud platforms and digital platforms is essential. Experience in working with multiple third-party vendors and partners to deliver complex solutions. Team building ...

Will get to work on numerous challenging and exciting projects on our various offerings including Salesforce, AI/Data Science, Generative AI/ML, Automation, Cloud Enterprise and Product/Platform Engineering. At Ascendion you have high chances of project extension or redeployment to other clients. Additionally, you can also ...

version control, testing, code review, and CI/CD processes. Mentor and guide existing developers, providing technical leadership and promoting a culture of continuous learning and improvement. Develop and maintain scalable cloud-based solutions using AWS services such as Lambda, S3, Redshift, Glue . Create and manage API integrations … 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 to integrate predictive models and analytical insights into operational workflows. Provide technical oversight and support for complex issues, ensuring ...

professional confidence. You will coach learners in areas you are most comfortable with, which may include: Data Analytics Data Technician Data Engineering Data Science Machine Learning Alongside this, you will receive ongoing technical training across all data pathways, as well as dedicated development on how to coach effectively … What's On Offer Fully remote working Comprehensive training to transition you into a coaching role Ongoing upskilling across data, engineering, and/or ML disciplines Opportunity to shape the next generation of data professionals Supportive, people-focused learning environment (You DO NOT need to have worked ...

direct reports Strong analytical mindset and data-driven decision-making Understanding of API integrations and Agile methodologies Bonus: Experience building optimisation or AI/ML-powered AdTech solutions Background growing products across multiple verticals Industry thought leadership or published content Experience working with enterprise clients and complex sales cycles Previous ...

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 ...

into high-quality, structured datasets • Collaborating with engineers and legal specialists to build tools that genuinely shift workloads What they're looking for: • Strong ML fundamentals and hands-on LLM experience • Proficiency in Python and familiarity with modern AI tooling (e.g. embeddings, retrieval, multi-agent architectures, document understanding) • Experience building ...

Support strategic account leads in identifying opportunities for deepened client engagement. Business-Technical Communication Serve as the trusted bridge between engineering teams (AI/ML, data, DevOps) and non-technical stakeholders. Frame technical progress and limitations in accessible, value-oriented language. Support tech leads by surfacing risks and clarifying feasibility ...

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 ...

multi-million-pound AI transformation programme. This is a rare opportunity to join a build-phase initiative that has already developed advanced machine learning models and is now focused on productising these for real-world, high-impact internal use. You'll be stepping into a Leading AI position … suite engagement in a global organisation with a multi-£billion turnover. What We're Looking For Senior engineering authority with proven delivery of ML/MLOps platforms into production. Hands-on expertise in Python, Cloud and LLM solutions and model lifecycle management. Ability to operate in a high-visibility, high ...

collect, enhance, train, translate, and localize content to build better AI models. Become part of our growing community and make an impact supporting the machine learning models of some of the world's largest brands. Qualification path No previous professional experience is required to apply to this role … exam that will determine your suitability for the position and complete ID verification. Don't worry, our team will provide you with guidelines and learning materials before your exam. You will be required to complete the exam in a specific timeframe but at your convenience! Equal Opportunity All qualified ...

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 ...

reporting). Familiarity with PPM, EPM, and integrations with third-party systems. Understanding of cloud technologies, SaaS delivery, automation frameworks (RPA/AI/ML), and digital assistants. Experience with intelligent automation, analytics, or process mining is highly advantageous. Soft Skills Excellent communication, leadership, and stakeholder management abilities. Strong problem ...