126 to 150 of 270 Machine Learning Jobs in the South East

must have written production grade code in C#, C++ or Python for application development (not web apps or Embedded) and an interest in pushing Machine Learning over time. Crucially we are looking for experience with AWS Cloud/Distributed Computing to be considered. Your new role In this ...

senior-level opportunity to shape enterprise-wide data strategy and architecture across a highly scalable Azure and Snowflake ecosystem, supporting advanced analytics, AI/ML, business intelligence, and data-driven product innovation. You will take ownership of the organisation’s modern data architecture roadmap, designing secure, scalable, and high-performing ...

solve one of the biggest recruitment challenges whilst ensuring every candidate has a fair and positive experience. Working closely with our AI/ML and Occupational Psychologist teams, you'll shape how hiring teams understand talent and make their most important decisions. Key responsibilities: Own a key product area, working ...

into real, scalable product features. Responsibilities • Design and implement AI-powered features within the platform (e.g., automation, recommendations, copilots) • Integrate LLMs and/or ML models into existing services and workflows • Evaluate, select, and optimize AI tools, APIs, and frameworks for production use • Collaborate with Product to translate business problems … Strong backend engineering experience (RoR and/or Golang preferred) • Experience integrating APIs and working within distributed systems • Hands-on experience with AI/ML tools (e.g., OpenAI, Anthropic, Hugging Face, or similar) • Experience building or integrating AI-powered features into applications (not just experimentation) • Strong understanding of data flow ...

transitioned into production by engineering teams. Exploratory Data Science & Modelling Explore structured and unstructured datasets to identify patterns and opportunities Build proof-of-concept ML and statistical models Apply NLP and semantic techniques to classify, compare and relate text data Test and evaluate different modelling approaches NLP & Text Analytics Work … Strong experience as a Data Scientist or Applied Data Scientist Hands-on experience with NLP and text analytics Strong understanding of statistical modelling and ML techniques Experience building prototypes/PoCs rather than purely production systems Python (or R) for data science and modelling Familiarity with techniques such as embeddings ...

impact role where you'll help shape how AI is designed, built, and deployed across the organisation. You'll work at the intersection of machine learning, software engineering, and real-world business challenges-developing intelligent, scalable solutions that drive efficiency and innovation across our operations. Working closely with … engineering and audit standards Champion scalable, secure, and efficient AI implementation. What We're Looking For Core Skills & Experience Strong experience in AI Engineering, ML/LLM applications, or intelligent automation Solid Java engineering background with production-quality coding practices Experience with CI/CD tools e.g., Jenkins, GitLab ...

understand data capture mechanisms and pipelines Contribute to shaping the technical roadmap and direction of the product Explore opportunities to leverage AI/ML techniques (including LLM-related approaches where relevant) Scale solutions from prototype through to production Key Requirements Proven experience as a Data Scientist within … from hardware or IoT/wearable devices Ability to operate with limited direction and take ownership of solutions Strong programming skills (e.g. Python, relevant ML libraries) Experience deploying models into production environments What’s on Offer Salary of £60,000 – £90,000 Opportunity to join a high-growth AI company ...

Strong experience in backend software engineering and systems integration. Hands-on expertise with Microsoft Azure and cloud-based application deployment. Experience integrating AI, machine learning or data-driven services into production environments. Strong knowledge of APIs, microservices and application architecture. Proficiency with Python and SQL. Experience with production … wellbeing benefits. Financial wellbeing tools and support. Electric car scheme. Access to a virtual GP. Access to a large suite of on-demand learning and development courses. This is an excellent opportunity for an engineer who wants to move beyond AI prototypes and build real, production-grade AI agents ...

great next step for you.You’ll be working closely with data engineers, data scientists, analysts, developers, architects and product teams to support analytics, machine learning and wider data-driven projects.Relevant experience includes:• Databricks or Snowflake, ideally within AWS• Python, PySpark and SQL• ETL pipelines and data transformation ...

accreditation processes. Working with secure or safety-critical systems. Exposure to technologies such as Apache Kafka, Apache NiFi, Node.js, TypeScript, MongoDB, AI or Machine Learning would also be beneficial. Security Clearance Due to the nature of the work, candidates must already hold, or be eligible to obtain ...

Infrastructure Automation, Shell Scripting, Bash, Slurm, PBS, LSF, Workload Scheduling, Resource Management, Linux Administration, Server Infrastructure, Cloud Infrastructure, AWS HPC, Azure HPC, Data Processing, Machine Learning Infrastructure, AI Infrastructure, Scientific Research ...

automation, and advanced data capabilities to improve customer experiences and operational efficiency. Their AI function is expanding rapidly, with multiple GenAI and machine learning initiatives moving from concept into production. You will join a collaborative team where technical expertise is valued, decisions are made pragmatically, and innovation ...

Analytics or AI. Proven experience developing and delivering enterprise data and AI strategies. Strong understanding of data platforms, data engineering, analytics and AI/ML technologies. Experience leading cross-functional teams and influencing senior stakeholders. Knowledge of data governance, compliance and data quality best practices. Experience delivering business intelligence, reporting ...

Data Governance frameworks and implementation. Exposure to CI/CD pipelines and source control for reports and analytics. Bonus: Familiarity with SageMaker or similar ML/predictive analytics platforms. We're looking for someone who: Thinks like a data user, not just a data builder – with a strong sense ...

data structures Hands-on expertise in disparate technologies such as cloud computing, native device development, CMS solutions, service-oriented architecture, user interface development, or machine learning. How to Apply: If you're interested in this role, click 'apply now' to forward an up-to-date copy of your ...

customer‐first delivery). Ensure solutions are scalable, secure, and compliant with regulatory and data‐privacy requirements. Evaluate and integrate digital health, AI/ML, and emerging technologies to improve clinical trial and patient experience. Continuously assess market, competitive, and technology trends to keep Fortrea competitive. Clinical Platforms Operations & Delivery ...

cloud platforms (AWS, Azure) and modern infrastructure (e.g., containers, Kubernetes, CI/CD pipelines). Experience with MLOps/LLMOps or supporting AI/ML systems in production environments. Solid understanding of security, governance, and cost management within cloud-based platforms. Experience working in financial services or a regulated environment ...

agile, DevOps, customer-first delivery).Ensure solutions are scalable, secure, and compliant with regulatory requirements within clinical research.Evaluate and integrate digital health, AI/ML, and emerging technologies to enhance clinical trial and delivery and patient experience.Continuously evaluate market trends, competitive landscape, and technology trends to ensure Fortrea maintains competitive ...

ESRI's GIS product suite and/or other geospatial technology. Experience with Systems Engineering An interest in data-engineering or data-science e.g. ML/DL/AI/Statistics Humanitarian knowledge/experience. What does it mean to be part of the MapAction team? Being part of MapAction ...

ESRI's GIS product suite and/or other geospatial technology. Experience with Systems Engineering An interest in data-engineering or data-science e.g. ML/DL/AI/Statistics Humanitarian knowledge/experience. What does it mean to be part of the MapAction team? Being part of MapAction ...

Structure (WBS) methodologies to guarantee on-time, high-impact deployments. 3. Organisation Leadership: Empowering, structuring, and upskilling a global technology footprint, bridging the "AI Learning Gap" across cross-functional business units. 4. Commercial Acumen: Managing complex technology investments, driving Build vs. Buy options, and proving tangible ROI indicators … environment, vision, and operational resources while collaborating closely with Business Intelligence, Marketing, and ESG/CSR units. AI Adoption: Operationalising advanced AI frameworks, ensuring machine learning models move out of sandbox environments and into live, localized exploitation. Business Continuity Planning: Securing the core business. You will insulate ...

Engineer to work on products used daily by leading global media and publishing organisations. Founded over a decade ago, the company builds data-driven, machine-learning-led products that operate at scale, helping publishers make smarter decisions around content, engagement, and audience growth. This is a hands ...

contributing to data preparation, model execution, and scenario analysis Work closely with senior stakeholders to produce high-quality, technically robust outputs Apply statistical and machine learning techniques to solve real-world marketing and business challenges Translate complex model outputs into clear, actionable insights for non-technical audiences Leverage ...

Experience managing project risks, dependencies and delivery reporting. Nice to have Experience within Life Sciences, Pharmaceuticals or another regulated industry. Exposure to Data, AI, Machine Learning or Large Language Model (LLM) programmes. Experience supporting regulatory, compliance or digital transformation initiatives. Scrum Master certification (PSM, CSM or equivalent). ...

operated at Principal or Lead level in an AI focused engineering environment. You will need strong experience designing and delivering AI or machine learning solutions. Hands on experience with LLMs and prompt engineering is important. Experience with cloud platforms is expected and GCP would be ideal. You should ...