20 of 20 Machine Learning Jobs in West Sussex

advancements in generative AI, transformer architectures, and retrieval-augmented generation (RAG) techniques. Ensure the data security standards are met, in conjunction with the Information Security team Manage AI/ML projects and mentor junior team members Experience: Extensive experience in data collection, preprocessing, and integration from various sources, ensuring accuracy, consistency, and handling missing values or outliers. Proficient in designing … applications. Hands-on experience with natural language processing (NLP) techniques and developing custom solutions using large language models (LLMs) for business use cases. Proficient in Python-based AI/ML development using frameworks like TensorFlow, PyTorch, and Scikit-learn. Expertise in building LLM-powered applications using frameworks such as LangChain and LangGraph, including prompt engineering, fine-tuning, and workflow orchestration. … LangChain/Langraph: Experience building LLM-powered applications with prompt m anagement/chaining and integration with various LLM providers. BigQuery: Advanced knowledge of data warehousing/analytics, BigQuery ML for in-database machine learning, query optimization techniques. Google Cloud Storage (GCS): Experience with data lake management, storage/retrieval processes, lifecycle management. Desirable ITIL Foundation in IT More ❯

in working patterns and a company-wide culture to be proud of. Core skills were looking for to succeed in the role: A strong understanding of Microsoft Azure, (Azure ML, Azure Stream Analytics, Cognitive services, Event Hubs, Synapse, and Data Factory) Fluency in common data science coding capabilities such as Python and modelling frameworks such as Pytorch, Tensorflow etc You … model development, with an emphasis on auditability, versioning, and data security. You'll implement automated data science model testing and validation. You'll assist in the optimisation of deployed ML model scoring code in production services. You'll assist in the design and implementation of data pipelines and engineering infrastructure to embed scaled machine learning solutions. You'll … the wider engineering community. You'll collaborate closely with data scientists, data engineers, architects, and the software development team. You'll liaise with stakeholders across the business to ensure ML is being used to improve strategic business decisions and identify new areas for improvements. You'll adhere to the Group Code of Conduct and Fitness and Propriety policies, Company Policies More ❯

enabling colleagues across Rentokil Initial to get value from data To build AI models and a data science platform that enables Rentokil to derive huge value from AI, through machine learning to gen AI and beyond Key tasks: AI Data Engineering: Design, build, operate, and deploy real-time data pipelines at scale using AI techniques and best practices. … applications. Hands-on experience with natural language processing (NLP) techniques and developing custom solutions using large language models (LLMs) for business use cases. Proficient in Python-based AI/ML development using frameworks like TensorFlow, PyTorch, and Scikit-learn. LLM Orchestration and Development Expertise in building LLM-powered applications using frameworks such as LangChain and LangGraph, including prompt engineering, fine … Pipelines. Cloud Computing (Google Cloud Platform - GCP Preferred) Hands-on experience with GCP services such as Vertex AI, BigQuery, Cloud SQL, and Google Cloud Storage (GCS) for AI/ML applications. Skilled in containerization (Docker) and orchestration (Kubernetes, GKE), with a solid understanding of cloud security best practices. Benefits: Competitive salary and bonus scheme Hybrid working Rentokil Initial Reward Scheme More ❯

home working, or the ability to flex your start and finish times. Where possible, we support a working pattern that suits your lifestyle and helps you reach your ambitions. ML Ops Engineer Crawley Thales Group's global CortAIx initiative already employs over 600 AI and data specialists, being the first patent applicant in AI for critical systems in Europe with … AI innovation, bringing together cutting-edge technology, talent, and research to deliver AI solutions that are ethical, transparent, explainable, and operationally effective. We are actively recruiting for an experienced ML Ops Engineer to work with our existing CortAIx team at our site in Crawley. Primary Purpose of the Role: To drive the evolution and deployment of Data and AI capabilities … businesses and to our customers in order to increase growth in orders and increased customer satisfaction. As part of a newly established software development team, the Factory AI/ML Ops Engineer will work with both the development team and the end user in Thales UK businesses. Supporting the Thales UK Digital and Data strategy the Software support engineer will More ❯

for cutting-edge AI solutions across the global business. The AI Solution Architect will act as a bridge between strategic AI initiatives and technical implementation, ensuring all solutions encompassing machine learning, agentic systems, and generative AI are robust, scalable, and secure. This role is pivotal in establishing architectural patterns for the AI domain, guiding development teams on complex … Candidate must demonstrate end-to-end lifecycle leadership (concept to iteration) and success in productionizing AI or Data-based projects for tangible business outcomes Deep, hands-on understanding of machine learning, agentic systems, and generative AI. Practical knowledge of the AI landscape: architectural trade-offs (e.g., fine-tuned vs. RAG), mitigating hallucination, and technology selection for specific use … BigQuery, Cloud Run) is exceptionally valuable, aligning with our Google-centric strategy. Familiarity with other major clouds demonstrates broad architectural understanding. Knowledge & skills: Technical Expertise: Mastery of AI/ML architectural patterns and best practices , with a solid understanding of MLOps, CI/CD, and data pipeline integration. Strategic Thinking: Ability to translate high-level business objectives into a robust More ❯

C++, etc. Familiar with modern DevOps/CloudOps best practices - test driven development, CI/CD, etc. Desirable: prior experience with Azure and NoSQL Desirable: experience and interest in machine learning, data engineering, and data visualization Cultural Fit: Represent the firm in a professional manner and uphold its values and culture in all interactions Entrepreneurial spirit & strong work More ❯

improvement. You'll embed Gen-AI technologies (e.g., Microsoft Copilot, OpenAI APIs) into workspace tools and processes to enhance digital workflows and employee interactions. You'll use AI/ML techniques to build predictive maintenance models for device and application health. You'll support the definition of architecture for AI-enhanced service desk automation, including copilots, bots, and intelligent knowledge More ❯

data solution including understanding complex business challenges, designing scientific solutions, working large and small data sets (including 3rd party and internal data of a wide variety), using cutting-edge machine learning or statistical modelling techniques to derive insights Work collaboratively with data scientists, data engineers and other technical people including pricing teams in order to help support maturation … in both independently and in small teams as required by the task. Familiarity with version control and other IT delivery tools is required Understanding/identifying opportunity to apply machine learning knowledge to solve business problems Experience in developing predictive and prescriptive analysis (predictive modelling, machine learning or data mining) used to draw key business insights … clients to engage, develop and harness the skills they need to achieve and grow the workforce they want. Our culture: At Peregrine we embrace fresh ideas, and we love learning fast. Our solutions are trusted and established, so we have the confidence of knowing we have a solid foundation. We rely on openness and honesty, and were always ready More ❯

strong focus on advanced analytics, machine learning, and applied AI - particularly Generative AI. This role will suit a technically capable professional who combines real-world AI/ML solution delivery experience with a solid understanding of the Azure ecosystem. The ideal candidate will bring hands-on expertise in designing and building AI-driven solutions using Azure-native tools … AI and machine learning models into data pipelines and applications. Develop and deploy AI solutions using Azure Machine Learning services. Have a knowledge of top ML libraries scalable across multiple CPU’s and GPU’s. Such as TensorFlow, PyTorch, Keras, OpenAI, XGBoost. And have used these in a commercial setting. Troubleshoot and resolve issues related to … production data workloads in Azure - ESSENTIAL Other Requirements Proficiency in Azure data services (Azure Data Factory, Azure Databricks, Azure Synapse Analytics, etc.) - ESSENTIAL Experience with AI development using Azure Machine Learning - ESSENTIAL Strong programming skills in languages such as Python, SQL, or C# - ESSENTIAL CORE COMEPTENCIES & SKILLS: Expertise in designing and implementing data models and data warehousing solutions. More ❯

Nice to have skills, but optional: Knowledge of Python Experience using Agile/Change methodologies What's involved: Find opportunities for, scope out and develop data services, including deep learning, predictive analytics and machine learning, that help to solve business problems Manage a team of Data Scientists, reviewing outputs, planning delivery timelines, developing talent and internal capability More ❯

cutting-edge technology empowers our customers to manage, share, and exploit data more effectively: Influence significant digital and data transformation projects within the UK public sector. Utilise AI and Machine Learning to innovate sophisticated decision support systems. Make an impactful contribution to society by harnessing the power of data. Why we are different? We bring the agility and More ❯

Forward Deployed Product Engineer (Python) Fully Remote within the UK Up to £160k + Stock + Benefits Series C, Developer Tooling/ML Deployments Join a US scale-up on a mission to empower Engineering teams to deliver their best work, through simplifying the deployment of Machine Learning models As they expand their global footprint, raised Series C … seeking a talented Forward Deployed Engineer to join the UK team! About the Role As a Forward Deployed Engineer you'll collaborate directly with customers to understand challenges, engineering ML-based deployment solutions. You'll be instrumental in ensuring clients achieve optimal outcomes with their models, focusing on aspects like optimisation, scalability & efficiency You’ll work alongside teams that have … joined from world-class tech businesses like NVIDIA, Amazon, Datadog, Vercel, Meta, GitHub and Uber Key Responsibilities Partner with customers to identify and address their ML deployment needs Implement and optimise ML solutions using Python, open-source tools & infrastructure Collaborate with cross-functional teams to enhance product features, based on client feedback Work with Python, PyTorch, Tensorflow, Kubernetes, Docker & cloud More ❯

in an AI or technology-driven environment. Experience with agile development methodologies. Experience in a corporate setting, driving adoption of new technologies (desirable). Strong understanding of AI/ML concepts and technologies. Understanding of user-centred design principles (desirable). Familiarity with Large Language Models (LLMs) and AI agent platforms (desirable). Excellent communication, collaboration, and stakeholder management skills. … and grow the workforce they want. We have a range of benefits you will receive alongside your salary. Our culture: At Peregrine we embrace fresh ideas, and we love learning fast. Our solutions are trusted and established, so we have the confidence of knowing we have a solid foundation. We rely on openness and honesty, and were always ready More ❯

numi are proud to be working with an company looking for an AI Engineer to help integrate cutting-edge AI into their Learning Technologies products. This role is all about turning AI research into real, impactful product features. What You’ll Be Doing Building & integrating AI models – Design, develop, and deploy AI solutions that make a real difference. Optimising … align with business goals. Communication & leadership – Break down complex AI concepts for different audiences and help upskill teams in AI tech. What They’re Looking For Solid AI/ML experience with a strong grasp of Python & frameworks like TensorFlow/PyTorch. Strong back-end engineering skills (Python or Node.js, bonus points for React/front-end experience). Experience More ❯

Deep knowledge of any; VPU/NPU/GPU/CPU/TPU architecture Vector/Matrix/Scaler units simulation/modelling - System C/TLM/UML ML frameworks - Tensorflow/PyTorch/Python or similar DSP algorithms - FIR/IIR filters or FFT... IP design, system design, system architecture low-power, performance and optimisation Applicants must have More ❯

to list a few and Markerstudy also has a large and growing direct presence in the market as well. Markerstudy are building a market-leading pricing environment, integrating AI, machine learning and distributed computing into the heart of the underwriting, pricing and product management processes, and implementing innovative techniques and solutions. You will leverage your extensive pricing experience … feed into the team. Build and mentor the team, leading by example. Key Responsibilities: Lead the risk pricing team to: Develop and maintain risk models, leveraging both traditional and machine learning techniques. Monitor the quality of risk modelling, including accuracy, drift and stability of trends. Manage inflationary, IBNR and other risk trends within the technical rates in collaboration … outcomes as one team. Own the technical roadmap and deliver the development plan. Own the risk pricing policy, processes and controls, and ensure accurate and compliant rates. Leverage the machine learning and distributed computing platforms to guide the team in delivering efficient and robust outcomes. Stay abreast of market conditions, emerging issues and the regulatory environment. Communicate results More ❯

to list a few and Markerstudy also has a large and growing direct presence in the market as well. Markerstudy are building a market-leading pricing environment, integrating AI, machine learning and distributed computing into the heart of the underwriting, pricing and product management processes, and implementing innovative techniques and solutions. You will leverage your extensive pricing experience … feed into the team. Build and mentor the team, leading by example. Key Responsibilities: Lead the risk pricing team to: Develop and maintain risk models, leveraging both traditional and machine learning techniques. Monitor the quality of risk modelling, including accuracy, drift and stability of trends. Manage inflationary, IBNR and other risk trends within the technical rates in collaboration … outcomes as one team. Own the technical roadmap and deliver the development plan. Own the risk pricing policy, processes and controls, and ensure accurate and compliant rates. Leverage the machine learning and distributed computing platforms to guide the team in delivering efficient and robust outcomes. Stay abreast of market conditions, emerging issues and the regulatory environment. Communicate results More ❯

to list a few and Markerstudy also has a large and growing direct presence in the market as well. Markerstudy are building a market-leading pricing environment, integrating AI, machine learning and distributed computing into the heart of the underwriting, pricing and product management processes, and implementing innovative techniques and solutions. You will leverage your extensive pricing experience … feed into the team. Build and mentor the team, leading by example. Key Responsibilities: Lead the risk pricing team to: Develop and maintain risk models, leveraging both traditional and machine learning techniques. Monitor the quality of risk modelling, including accuracy, drift and stability of trends. Manage inflationary, IBNR and other risk trends within the technical rates in collaboration … outcomes as one team. Own the technical roadmap and deliver the development plan. Own the risk pricing policy, processes and controls, and ensure accurate and compliant rates. Leverage the machine learning and distributed computing platforms to guide the team in delivering efficient and robust outcomes. Stay abreast of market conditions, emerging issues and the regulatory environment. Communicate results More ❯

maybe even voice tech, and want to help scale something from zero to one, this is the role for you. We're looking for: Strong product-focused AI/ML engineering experience Experience fine-tuning LLMs and generative AI models Ideally, you'll have experience building voice agents (TTS, STT) Entrepreneurial, independent, and ready to build. Strong communicator, stakeholder-friendly. More ❯

automation testing using Appium, XCUITest, TestFairy. Data/ETL Testing Ensures accurate data flow, transformation, and validation in data pipelines. Works with SQL, Informatica, Talend, SSIS, Snowflake. AI/ML Model Testing Test models for accuracy, bias, and performance. Involves validating model predictions, fairness, and ethical AI compliance. Seniority Level Associate Industry IT Services and IT Consulting Employment Type Full More ❯