1 to 25 of 46 Machine Learning Jobs in Hampshire

solutions to secure and complex environments. You will work across engineering, DevOps, and data science teams to deliver robust, automated, and production-ready ML pipelines. What you'll be doing Develop and improve MLOps frameworks across multiple machine learning use cases Build and maintain CI/… scanning and automated workflows Develop scripts in Python, Bash, and Linux environments to support automation Work within air-gapped environments, ensuring secure deployment of ML solutions Collaborate with data scientists to operationalise ML models Utilise tools such as MLflow and Airflow for model tracking and orchestration Support cloud-based deployments ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

keen ability to assess, analyse, and meet client-specific needs. You will play a major role in developing and implementing Machine Learning (ML) and Artificial Intelligence (AI) solutions for our clients, along with providing key advice around innovation and new techniques to stakeholders. You will be designing solutions … complex challenges and will integrate code with software engineers. Responsibilities will include: Leading and delivering technical consulting projects. Developing and delivering AI/ML solutions using a range of techniques (ML, NLP, LLMs, etc.) to tackle real world problems, applying tools and techniques, and developing novel approaches where required. Building ...

keen ability to assess, analyse, and meet client-specific needs. You willplay a major role in developing and implementing Machine Learning (ML) and Artificial Intelligence (AI)solutions for our clients, along with providing key advice around innovation and new techniquesto stakeholders.You will be designing solutions for complex challenges … will integrate code with software engineers. Responsibilities will include: Leading and delivering technical consulting projects. Developing and delivering AI/ML solutions using a range of techniques (ML, NLP, LLMs, etc.)to tackle real world problems, applyingtools and techniques,and developing novel approaches where required. Building new relationships and maintainingcurrent ...

platforms. You will leverage your expertise in Databricks, Apache Spark, and Azure to design, develop, and implement data warehouses, data lakehouses, and AI/ML models that fuel our data-driven operations. What You Will Be Doing We are looking for strong Data and Solution Architects who are passionate … systems to scalable, cloud-native solutions. Design and implement lakehouse architectures that unify data lakes and data warehouses for advanced analytics and AI/ML workloads. Partner with other solution architects to assess solution alignment to the overall architectural blueprint – and drive proposal writing, solution direction, pricing and costing Owns ...

teams to drive AI capability forward, while remaining hands-on with model development, optimisation, and deployment. Key Responsibilities Design and build advanced AI/ML solutions for complex data-driven challenges Develop and optimise Generative AI models and LLM-based applications Work with transformer architectures, SLMs, convolutional models, and related … Small Language Models (SLMs) Transformer architectures Convolutional models Experience designing and optimising graph databases Experience building MCP servers Proven ability to apply AI and ML techniques to solve complex data problems Experience delivering scalable and repeatable AI solutions Generative AI (GenAI) experience is essential Due to the nature ...

building scalable and secure data platforms. You will leverage your expertise to design, develop, and implement data warehouses, data lakehouses, and AI/ML models that fuel our data-driven operations. What You Will Bring Design and build high-performance data pipelines: to extract, transform, and load data into Cloud … move data from source systems to Data Warehouses, Data Lakes, and Lake Houses using Open Source and cloud tools. Build and deploy AI/ML models: Integrate Machine Learning into data pipelines, leveraging ML to develop predictive models and drive business insights. Monitor and optimize data pipelines ...

platforms. You will leverage your expertise in Databricks, Apache Spark, and Azure to design, develop, and implement data warehouses, data lakehouses, and AI/ML models that fuel our data-driven operations. Design and build high-performance data platforms: Utilize Databricks and Apache Spark to extract, transform, and load data … lakehouses: Implement data models, data quality checks, and governance practices to ensure reliable and accurate data. Ability to Design, Build and deploy AI/ML models: Integrate Machine Learning into data pipelines, leverage Databricks ML and Azure ML to develop predictive models and drive business insights. Design, Monitor ...

supportive and hands-on environment. Key Responsibilities: Analyse datasets to identify patterns, trends, and actionable insights. Support the development and evaluation of machine-learning models. Assist with data cleaning, preparation, and feature engineering. Conduct statistical analysis to support business decisions. Build reports, dashboards, and visualisations for internal stakeholders. … university (e.g., Russell Group or equivalent) Strong programming skills in Python and R. Solid understanding of statistical analysis and quantitative methods. Foundational knowledge of machine learning techniques (classification, regression, clustering, etc.). Strong analytical mindset and attention to detail. Ability to present findings clearly to technical ...

Real-Time Analytics), and the wider Azure data ecosystem to design, develop, and implement modern data architectures and pipelines that fuel analytics, AI/ML, and data-driven operations. Design and build high-performance data integration solutions: Use Azure Data Factory (and/or Fabric Data Factory) to orchestrate ingestion … practices using Microsoft Fabric (Lakehouse/Warehouse), Purview, and Azure security controls to ensure trusted data. Ability to design, build and deploy AI/ML-enabled solutions: Enable feature-ready, governed datasets for data science and integrate with Azure Machine Learning and Fabric experiences to operationalise models ...

ensuring business value creation and impact. In this position you will play a key part in: Designing and delivering end-to-end AI/ML systems, from data preparation and model development to model deployment, feature stores, model management and monitoring model management Delivering solutions using the latest GenAI … requirements and build out solutions. Experience of designing and implementing MLOPs strategy and framework and proven track record in designing and delivering AI/ML solutions at scale, from concept to production. Deep understanding of Generative AI and Agentic AI — RAG pipelines, embeddings, evaluation harnesses, and orchestration frameworks. Experience designing ...

annum SC cleared The Opportunity Help deliver cutting-edge software solutions. You'll work on complex, real-world challenges using modern technologies like machine learning, edge computing, and DevOps automation to accelerate capability deployment. The Role You'll contribute to the development, release, and support of operational systems ...

across the full pipeline from source systems to target repositories, with a strong focus on data quality Collaborating with Data Scientists to help productionise ML pipelines Operating within an Agile/DevOps environment What we're looking for: Strong SQL and Python skills Solid understanding of Lakehouse architecture and data ...

industry experience Strong background in Python or similar languages Significant experience with backend development , microservices, and distributed systems Hands-on experience with AI/ML systems , including LLMs, RAG, or vector databases Solid understanding of containerisation and orchestration (Docker/Kubernetes) Experience delivering secure, on-premise or regulated systems Proven ...

experience with a focus on production ownership and reliability Understanding of data quality, testing and lineage best practices Desirable skills: MLOps or production machine learning experience Terraform, Ansible or other Infrastructure as Code tools PostgreSQL and modern data platforms Experience within Defence, National Security or regulated environments Familiarity ...

experience with a focus on production ownership and reliability Understanding of data quality, testing and lineage best practices Desirable skills: MLOps or production machine learning experience Terraform, Ansible or other Infrastructure as Code tools PostgreSQL and modern data platforms Experience within Defence, National Security or regulated environments Familiarity ...

safety-critical environments. Familiarity with technologies such as: Azure and AWS Docker and Kubernetes Apache Kafka and NiFi Node.js and TypeScript MongoDB AI and Machine Learning technologies Security Requirements Due to the nature of the work, candidates must either hold current UK Security Clearance or be eligible ...

pipelines using Python and SQL, managing the full data lifecycle from ingestion through to processing and validation. Youll also have hands-on experience applying machine learning and computer vision techniques, such as detection, classification, segmentation, and anomaly detection, to solve complex, real-world challenges. You will work both ...

customers’ business problems using the latest techniques, methods and technologies. We are a rapidly-growing team of visualisation specialists, data scientists, and AI and machine learning engineers – we seek to ideate and bring to life what’s next for our clients. The Focus Of Your Role and What … multiple full lifecycle implementations A passion for data and insights Expert knowledge of BI, visualisation and storytelling concepts A desire to broaden your skillset, learning and utilising other tools as required Knowledge and experience of data warehousing concepts and SQL are desirable Experience in interfacing with senior client stakeholders ...

Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire ...

Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire ...

Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire ...

optimise batch and streaming pipelines, implement Delta Lake lakehouse patterns, and deliver well-governed data sets that power reporting, analytics and AI/ML use cases. Build and maintain data pipelines and lakehouse solutions: Use Databricks and Apache Spark to ingest, transform and curate data in Azure Data Lake Storage … governance: Develop scalable data models, apply validation/quality checks, and follow governance practices to ensure reliable and auditable data products. Enable AI/ML and analytics use cases: Prepare curated datasets and features, collaborate with data scientists, and integrate pipelines with ML workflows (e.g., MLflow) where required. Monitor ...

enterprise organisations across the United States, you'll be responsible for building long-term client relationships and sourcing exceptional technology talent within: Artificial Intelligence & Machine Learning Data Engineering & Data Science Software Engineering Cloud & Platform Engineering Product & Technology Leadership You'll have the autonomy to develop your own specialist ...

enterprise organisations across the United States, you'll be responsible for building long-term client relationships and sourcing exceptional technology talent within: Artificial Intelligence & Machine Learning Data Engineering & Data Science Software Engineering Cloud & Platform Engineering Product & Technology Leadership You'll have the autonomy to develop your own specialist ...