1 to 25 of 29 Machine Learning Jobs in Surrey

purpose of this role is designing, implementing, and completing procedures and tools for continuous performance evaluation and testing of Machine Vision and Machine Learning (MV/ML) Inspection Applications, within the scope of BAU Patching Global Program. Additionally, this role will be responsible of any software development on MV/ML applications required to meet CHEP IT … Security standards. MV/ML Automatic Inspection Systems are deployed globally in CHEP and the Subco service center network. Key Responsibilities May Include: Provide continuous maintenance and troubleshooting support to service centers to ensure sustained automated vision inspection system performance Support vision inspection system quality performance and capability improvement programs Monitor and support automated inspection system performance, consistency and predictability … deploy and sustain defined best practices and continuous lessons learned Major/Key Accountabilities Design, implement and complete Testing and Simulation procedures to be applied to the MV/ML Inspection Applications, to ensure proper operation and performance with new Cyber Security patches and tools regularly extended by BAU Patching program. Develop any software modification on existing MV/ML More ❯

purpose of this role is designing, implementing, and completing procedures and tools for continuous performance evaluation and testing of Machine Vision and Machine Learning (MV/ML) Inspection Applications, within the scope of BAU Patching Global Program. Additionally, this role will be responsible of any software development on MV/ML applications required to meet CHEP IT … Security standards. MV/ML Automatic Inspection Systems are deployed globally in CHEP and the Subco service center network. Key Responsibilities May Include: Provide continuous maintenance and troubleshooting support to service centers to ensure sustained automated vision inspection system performance Support vision inspection system quality performance and capability improvement programs Monitor and support automated inspection system performance, consistency and predictability … deploy and sustain defined best practices and continuous lessons learned Major/Key Accountabilities Design, implement and complete Testing and Simulation procedures to be applied to the MV/ML Inspection Applications, to ensure proper operation and performance with new Cyber Security patches and tools regularly extended by BAU Patching program. Develop any software modification on existing MV/ML More ❯

through building and deploying models, to measuring impact using A/B testing. You will gain hands-on experience with leading technology, modern architecture, and the latest applications of machine learning and generative AI in production. What you’ll do: Work closely with stakeholders across the business to understand and propose improvements to existing process using new data … functional business. PhD or MSc or equivalent experience in a numerate subject: Machine Learning, Computer Science, Statistics. Proven experience of applying, researching, and developing advanced statistical/ML methods to drive value in a commercial setting, Able to work independently and efficiently to deliver projects on time, taking project briefs and refining them to strong results. Experienced in … engaging with non-technical partners to scope, design and build an appropriate ML solution. Proficient with Python data science stack, e.g., pandas, scikit-learn, Jupyter etc., and version control, e.g., Git. Knowledge of OO programming, software design, i.e., SOLID principles, and testing practices. Knowledge and working experience of AGILE methodologies. Proficient with SQL. Familiarity with Databricks, Spark, geospatial data/ More ❯

redefine what’s possible. Publish your findings in top-tier AI conferences and journals, showcasing your work to the global research community Who You Are: A PhD holder in ML/AI, Computer Science/Engineering, or a related field. A strong foundation in Mathematics, Machine Learning, NLP, and Deep Learning. Hands-on experience in one or more … of these areas: Generative AI, Parameter-efficient Fine-tuning, Model Compression, Foundation Models, Large Language Models (LLMs), Data/Model Privacy, or Prompting Methods. First-author publications in prestigious ML/AI conferences/journals (e.g., ICML, NeurIPS, ICLR, EMNLP, CVPR, ECCV, IEEE TPAMI, AAAI). Proficient in programming languages like Python, Java, or C++, and experienced with Machine Learning libraries (e.g., PyTorch, SciKit, NumPy). Comfortable working in Linux environments and collaborating in a hybrid team setup. Exceptional communication, teamwork, and problem-solving skills. Why Join Us? Be part of a team that’s at the forefront of AI research, developing solutions that impact millions of users worldwide. Work in a dynamic and innovative environment where More ❯

conferences and journals, such as NeurIPS, ICML, ICLR, EMNLP, CVPR, ICCV, ECCV, AAAI, ACL, IEEE TPAMI, IEEE TNNLS, IJCV, and JMLR. Skills and Qualifications Pursuing or completed PhD in ML/AI, Computer Science/Engineering, or related disciplines. Proficiency in mathematics (calculus, probability, statistics, linear algebra, optimization) and computer science (algorithms, data structures, parallel/distributed computing). Strong … fundamentals in Machine Learning, Computer Vision, and Deep Learning. Hands-on experience … in areas such as Generative AI, Foundation Models, Parameter-Efficient Fine-Tuning (PEFT), Data/Model Privacy, or Model Optimization for Multi-Task Learning. First-author publications in top ML/AI conferences/journals (e.g., ICML, NeurIPS, ICLR, CVPR, ECCV, IEEE TPAMI, AAAI). Experience in Linux environments. Proficiency in programming languages such as Python, Java, or C++. Experience More ❯

Data Scientist, you will be expected to: Build Agentic AI and GenAI solutions, from PoC to production, using agile methodologies and best practices. Apply advanced analytical techniques, such as machine learning, natural language processing, computer vision, and deep learning, to extract insights and generate solutions from structured and unstructured data. Build data pipelines, models, and AI applications, using cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc. Build and deploy production grade fine-tuned LLMs and complex RAG architectures. Create and manage the complex and robust prompts across … adherence to data privacy regulations. Connect to your skills and professional experience A bachelor's degree (or equivalent) or higher in AI or equivalent. Proven experience in data science, machine learning, and AI, with a proven track record of delivering AI-driven solutions in a professional setting, using a variety of tools and techniques. Proficient in programming languages More ❯

loves working with data, has a curious mindset, and is passionate about uncovering insights that drive meaningful change. As part of the Customer Experience team, you'll leverage analytics, machine learning, and AI-driven tools to identify trends, behaviours, and opportunities across the customer journey. You'll transform complex data into compelling insights that inform strategic decision-making … and improve customer satisfaction and conversion. Key Responsibilities Design and maintain analytical models, dashboards, and visualisations using tools such as Python, R, Tableau, or Power BI. Apply machine learning and natural language processing techniques to both structured and unstructured data sources. Monitor key CX metrics (NPS, CSAT, conversion rates) to identify emerging trends, opportunities, and risks. Conduct exploratory More ❯

in cutting-edge client engagement solutions. With a strong international presence and a culture built around agility, innovation, and rapid iteration, this tech-driven organisation thrives on moving fast, learning quickly, and pivoting when needed. As they continue to scale, they're investing heavily in data and AI to drive smarter decision-making and product innovation. Your new role … to the CTO, you'll be responsible for shaping the data science strategy, implementing scalable processes, and delivering impactful insights across the business. You'll work hands-on with machine learning, AI, and LLMs to solve complex problems, while also mentoring your team and engaging with senior stakeholders to align data initiatives with business goals. What you'll … need to succeed Proven experience in a senior or lead data science role Strong hands-on skills in Python and SQL Solid experience with Machine Learning, AI, and Large Language Models (LLMs) Previous people management experience (ideally managing Analysts/Data Scientists) Ability to implement and improve data science processes and workflows Excellent stakeholder management and communication skills More ❯

and improved customer experiences. You thrive in working autonomously and collaboratively to drive impact in a fast-paced multi-functional business. PhD or MSc experience in a numerate subject: Machine Learning, Computer Science, Statistics, or equivalent, Demonstrable experience of applying, researching, and developing sophisticated NLP models, prompt engineering + fine-tuning LLMs to drive value in a commercial … efficiently to deliver projects on time, taking project briefs and refining them to strong results. Experienced in engaging with non-technical stakeholders to scope, design and build an appropriate ML solution. Proficient with Python data science stack, e.g., pandas, scikit-learn, Jupyter etc., and version control, e.g., Git. Exposure to LLMOps, model monitoring principles, CI/CD and associated tech More ❯

build tracking frameworks across teams. Partner with product, engineering, AI and data science teams to accelerate development. Work with architects to design data products, test new tools, and support ML/AI workflows. Ensure data quality, integrity and consistency across multiple sources. Thrive in a fast-paced trading environment where insight shapes strategy. Qualifications What we’d love you to … bring: Passion for using data to tell stories, make insight actionable, and influence decisions. Strong understanding of data models and analytics; exposure to predictive modelling and machine learning is a plus. Proficient in SQL and Python, with bonus points for PySpark, SparkSQL, and Git. Skilled in data visualisation with tools such as Tableau or Power BI. Confident writing More ❯

across the platform, naming conventions across data products, championing and enforcing both. Work with architects on best design for data products, evaluating and experimenting with new data tools & supporting ML & AI infrastructure and workflows Qualifications What we’d love you to bring: Strategic thinker, aligning multiple workstreams to deliver a scalable, high-quality data platform. Develops the data function roadmap More ❯

training, and innovation events. Monitor and evaluate AI adoption, efficiency gains, and business impact. Candidate Profile We are seeking an experienced AI leader with: Proven success in AI/ML product development and innovation lifecycles. Strong technical expertise in machine learning, data science, or computer science . Hands-on experience developing applications using LLMs and APIs . Familiarity More ❯

training, and innovation events. Monitor and evaluate AI adoption, efficiency gains, and business impact. Candidate Profile We are seeking an experienced AI leader with: Proven success in AI/ML product development and innovation lifecycles. Strong technical expertise in machine learning, data science, or computer science . Hands-on experience developing applications using LLMs and APIs . Familiarity More ❯

Blazor (web) REST APIs, microservices, Docker CI/CD pipelines, DevOps, Terraform Organised, detail-oriented, and comfortable with deadlines Excellent communication and problem-solving skills Bonus Skills Interest in Machine Learning/AI Familiarity with OsiSoft PI , ArcGIS , or cloud platforms Experience with real-time systems or data-driven optimisation Why Join? Work on globally used software with More ❯

Collaborate in a hybrid team environment with strong support for growth Tech Stack .NET ecosystem : WinForms, WPF, Blazor Cloud & DevOps : Microservices, Docker, REST APIs, CI/CD, Terraform Bonus : Machine Learning, and AI What You’ll Bring Degree in Computer Science, Engineering, Physical Sciences, or Maths Strong coding skills and attention to detail Proven programming experience and a More ❯

Collaborate in a hybrid team environment with strong support for growth Tech Stack .NET ecosystem : WinForms, WPF, Blazor Cloud & DevOps : Microservices, Docker, REST APIs, CI/CD, Terraform Bonus : Machine Learning, and AI What You’ll Bring Degree in Computer Science, Engineering, Physical Sciences, or Maths Strong coding skills and attention to detail Proven programming experience and a More ❯

on the knowledge of the 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 5 is not a requirement for our job More ❯

on the knowledge of the 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 5 is not a requirement for our job More ❯

with GUI's, along with Continuous Integration experience. GPU Development would be beneficial, as would 2D/3D Graphics Development and Continuous Integration knowledge. Experience or personal projects exploring Machine Learning and AI would fit well. What you'll get in return You'll work for a technology focused company building innovative products . There's an excellent More ❯

is already architected so the focus currently leans towards UI Development in Blazor using C# - so you should be interested in this kind fo role.Experience or personal projects exploring Machine Learning and AI would fit well. What you'll get in return You'll work for a technology focused company working on a best-in-class product modernisation. More ❯

mathematical or geological problems. Experience in seismic processing, fracture modelling, fault seal analysis, kinematic or geological modelling techniques will serve you well in this role, as would exposure to Machine Learning. CI experience including JIRA, Git, Jenkins, Java, Bash, TestRail. What you'll get in return You'll work for a technology focused company building innovative products . There More ❯

Hybrid (London) THIS IS A LEAD Developer Role Essential: Proven experience working with LLMs (e.g., OpenAI, Anthropic, Hugging Face) or applied AI projects. Nice to have: Broader AI/ML exposure, such as model fine-tuning, prompt engineering, or integration into production systems. Join a profitable, fast-growing SaaS company going through a major tech transformation. After 15+ years of More ❯

embed trust, safety, and responsibility into AI adoption across high-security projects. Key Responsibilities: Implement AI risk management and assurance frameworks. Conduct testing, evaluation, and validation of AI/ML solutions. Advise Defence teams on ethical, regulatory, and operational compliance. Support safe deployment of AI systems and guide MLOps practices. What we're looking for: Active SC clearance (DV desirable More ❯

embed trust, safety, and responsibility into AI adoption across high-security projects. Key Responsibilities: Implement AI risk management and assurance frameworks. Conduct testing, evaluation, and validation of AI/ML solutions. Advise Defence teams on ethical, regulatory, and operational compliance. Support safe deployment of AI systems and guide MLOps practices. What we're looking for: Active SC clearance (DV desirable More ❯

data from diverse sources – including warehouses, APIs, marketing platforms, and operational systems – using DBT, Delta Live Tables, and dimensional modelling to deliver consistent, trusted analytics. Enable advanced AI and ML use cases by building pipelines for vector search, retrieval-augmented generation (RAG), feature engineering, and model deployment. Ensure security and governance through robust access controls, including RBAC, SSO, token policies … batch and streaming data pipelines using Kafka, Airflow, or Spark Familiarity with governance frameworks, access controls (RBAC), and implementation of pseudonymisation and retention policies Exposure to enabling GenAI and ML workloads by preparing model-ready and vector-optimised datasets Demonstrated capability to collaborate successfully with interested parties in data engineering, analytics, architecture, and business teams Advanced SQL skills and a More ❯