1 to 25 of 62 Machine Learning Jobs in Southampton

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. ...

individual have the drive and experience to transfer knowledge Strong Modelling experience Must have Model Productionisation experience Have prior pricing knowledge or have delivered ML techniques to existing pricing models. Financial Services or Insurance experience would be preferable but not limited to. Full Tech Stack - Databricks, PySpark, Microsoft Azure, Azure … ML, Azure Stream Analytics, Cognitive Services, Event Hubs, Synapse, Data Factory. This is a fantastic role for an experienced Machine Learning Engineer or Pricing Optimisation Manager with a passion for innovation, optimisation and model productionisation. Location: UK Remote Salary: Up to £80,000 + excellent benefits Applicants MUST ...

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 ...

knowledge bases into accessible, searchable, and actionable insights for researchers pushing the boundaries of science. Role Overview We are looking for an AI/ML Engineer who is ready to tackle one of the hardest problems in science: teaching machines to understand chemistry. In this role, you won’t just … monitoring. Knowledge of tools like RDKit or other chemistry specific data toolkits. Familiarity with containerisation of services (Docker/Kubernetes). Publications in relevant ML or scientific journals. What We Offer Competitive salary and a comprehensive benefits package. The opportunity to work on cutting edge research problems at the intersection ...

Research Engineer (ML) Remote (UK) £90,000 – £120,000 + generous equity Company Overview: We're working with a well-funded early-stage BioAI company applying machine learning to a challenging biological problem with real impact on sustainability and food security. The team is building an ML-first … actively used by scientists to guide real experimental decisions. The Role: They are looking for a Research Engineer who will work closely with ML scientists, chemists, and biologists to design, implement, and evaluate new modelling approaches. Your focus will be on building models, running experiments, validating results, and ensuring that ...

with cross-functional teams at all stages, to turn insights into impactful products. In this role you will Work end-to-end on new ML models from development through to training and optimising Work closely with a small team of data scientists, engineers and product managers Implement scalable data pipelines … conduct performance evaluations of models What we're looking for 3+ years of industry or research experience Python and SQL proficiency, with experience using ML frameworks e.g PyTorch Experience with Azure cloud Driven to progress within a growing SME What our client are offering £70,000 - £80,000 salary ...

develops advanced solutions used to test, analyse, and optimise next-generation communication technologies. This role offers the opportunity to work on applied AI and machine learning systems, contributing across the full development lifecycle — from data preparation and model development through to deployment and user-facing tools. Responsibilities Prepare … machine learning and deep learning models for real-world applications Develop intelligent workflows incorporating feedback loops and agent-based approaches Apply ML techniques such as classification, regression, and feature extraction to complex data sources Implement semantic search, analytics, and root cause analysis functionality Optimise model performance ...

growing, AI-driven product company. This is a hands-on role with real ownership, working closely with engineering and product to build and deploy machine learning models that directly impact the business. Key Responsibilities Own the end-to-end data science lifecycle (from problem definition to monitoring) Build … deploy, and maintain machine learning models in production, including Computer Vision applications Collaborate with Product and Engineering on data-driven solutions Lead experimentation, optimisation, and model evaluation Contribute to technical direction and best practices Mentor Junior Data Scientists Key Skills & Experience Strong commercial experience as a Data Scientist ...

Senior ML Engineer – AI & MLOps £90,000 - £110,000 per annum We are looking for a Senior ML Engineer to join a forward-thinking team working on cutting-edge AI and machine learning solutions. This is a hands-on, engineering-heavy role focused on MLOps, LLMs … with strong financial backing, where you'll have the autonomy to build and deploy real-world AI solutions. The Role: Build and optimise scalable ML pipelines and AI infrastructure Work on LLM-focused projects – fine-tuning, retrieval systems, prompt engineering Develop and deploy ML models using AWS and Python Collaborate ...

Special Educational Needs (SEN) schools. We work closely with care homes and schools to build our platform, FocusAI, which applies state-of-the-art machine learning and AI to fragmented healthcare information, starting with automated reporting. By transforming disconnected, outdated systems into structured, actionable insights, we help care … solutions that make a real difference for care homes and SEN schools. Growth & innovation: Gain hands-on experience with emerging technologies, including AI and machine learning, keeping you at the cutting edge of innovation. Flexible culture: Enjoy a more flexible, dynamic work environment that adapts to your strengths ...

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 ...

Lead ML Ops Specialist **UK Remote • Contract • Outside IR35** I'm supporting an organisation in the iGaming space as they build and launch a completely new AI and Automation platform across their UK and International estate. They operate multiple brands across two platforms and are now integrating everything under … driven strategy — and they need a Lead ML Ops specialist to help drive it. This is a senior, hands on consulting role shaping how Machine Learning is deployed, scaled and monitored across the business. You'll work directly with their AI Ops team to define the platform, establish ...

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 ...

Tetra Tech is looking for a Principal/Associate Geospatial Developer (GIS/AI/ML) to join our team and help us transform our Geospatial solutions with our Leading with Science mantra for our clients. Principal/Associate Geospatial Developer (GIS/AI/ML) Manchester or Southampton Tetra … Tech is looking for a Principal/Associate Geospatial Developer (GIS/AI/ML) to join our team and help us transform our Geospatial solutions with our Leading with Science mantra for our clients. Why this is a great opportunityfor you: Shape the Future: Lead the design and delivery ...

delivered proper, end-to-end data science work in a commercial setting. You'll need; A track record of delivering Data Science or Machine Learning solutions. Strong Python skills (or R) and experience with commonly used libraries. Solid SQL and experience working … with cloud data platforms (Azure preferred). Experience deploying models or pipelines using Databricks (or similar). A good grounding in core DS/ML techniques and the ability to turn data into meaningful insight. Experience working with LLMs or similar modern approaches. Confidence working with stakeholders and explaining technical ...

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 ...

Role Summary We are seeking a creative and skilled AI Engineer to help drive Unlinks mission of transforming justice services through advanced AI and machine learning. You will work on meaningful, high-impact projects—like predictive analytics for offender risk, behavioural monitoring, secure communications enhancement, and operational optimization—ensuring … nature of justice services. Person Specification Must-Have: Degree in Computer Science, AI, Data Science, or equivalent experience. Strong Python skills, with experience in ML libraries like TensorFlow, PyTorch, scikit-learn. Solid understanding of ML principles, algorithms, and their deployment in production. Experience with cloud platforms (AWS, GCP, Azure ...

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 ...

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 ...

technology company operating at the intersection of healthcare and legal technology. This role exists to build the core data platform that underpins AI and machine learning work. The business is moving beyond fragmented data and needs someone who can design and deliver a structured, secure and compliant data … Looking For Strong experience as a Data Engineer in production environments Strong Python and SQL Experience building data platforms that directly support AI or ML teams Solid understanding of AI data lifecycles (datasets, versioning, drift, reproducibility) Experience with Azure-based data platforms Experience with containerisation (Docker, Kubernetes) Strong understanding ...

tier conferences (NeurIPS, ICML, ICLR, CVPR) Collaborate globally with researchers across 100+ countries Mentor the next generation of AI researchers REQUIREMENTS: PhD in ML/AI/Computer Vision with strong publication record Deep expertise in diffusion models and generative AI Proven experience with text-to-image generation, multimodal ...

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 ...

Data & AI program strategy aligned with business and digital transformation objectives. Build and manage a multi-year roadmap covering data platforms, advanced analytics, machine learning, and GenAI applications. Identify high-value business use cases in areas such as marketing, R&D, medical affairs, quality, manufacturing, and supply chain. … data, analytics, AI, or digital transformation roles. Proven track record leading complex data/AI programs in regulated environments. Strong understanding of data architecture, ML/AI technologies, and cloud platforms (e.g., AWS, Azure, GCP). Experience working with cross-functional teams in commercial, R&D, medical, or supply chain ...