1 to 25 of 39 Machine Learning Jobs in Berkshire

Foster a culture of innovation, collaboration, and continuous learning within the team. Emerging Technologies: Stay abreast of emerging technologies, tools, and industry trends in data platforms, AI/ML, and big data. Proactively evaluate and recommend new technologies that enhance data capabilities and drive business innovation. Cross-Functional Collaboration: Partner with IT, analytics, and business teams to identify data … environments and balance long-term strategy with short-term execution. Preferred Qualifications: Certifications in cloud platforms (AWS Certified Data Analytics, Azure Data Engineer, etc.). Experience with AI/ML technologies and data science platforms. Familiarity with DevOps, CI/CD pipelines, and Infrastructure as Code (IaC). What can you expect from Mars? Work with diverse and talented Associates … all guided by the Five Principles. Join a purpose driven company, where we're striving to build the world we want tomorrow, today. Best-in-class learning and development support from day one, including access to our in-house Mars University. An industry competitive salary and benefits package, including company bonus. Mars is an equal opportunity employer and all More ❯

to succeed. A progressive organisation where you can really make a difference. We a great opportunity for an AI Security Architect Key Responsibilities: * Develop and implement comprehensive AI/ML security strategies, policies, standards and guidelines to protect organizational assets and ensure the secure operation of AI and ML systems. * Develop and own robust enterprise security architecture for AI/… ML systems, CI/CD and data pipelines. * Participate in enterprise-wide architecture initiatives for AI/ML. Understand the workflow and pipeline architectures of ML and deep learning workloads. * Conduct security risk assessments and threat modelling for AI/ML and other business projects performed thorough design reviews and security assessments of architectures and designs, identifying vulnerabilities, threats … and risks, and providing recommendations for effective mitigation measures for common attack vectors and threats. * Support the testing of AI/ML models, LLM and development of trustworthiness, safety, fairness, bias and inappropriateness detection, as well as adversarial test specification, development, and execution. * Collaborate with data scientists, engineers, and other stakeholders to embed security controls and measures into AI/ More ❯

external technology vendors. Strong Story Telling skills - excellent communication, with senior management exposure. Deep understanding of business drivers/processes and ability to relate segment priorities to associated technology. Learning agility and desire to learn new technology. Strong problem analysis, negotiating and influencing skills. Proven track record to get things done in a matrixed organisation and influencing without authority. … end-to-end data platforms - covering Demand, Supply, R&D, and Commercial. Develop and deliver communication and education plans on analytics data engineering capabilities, standards, and processes. Partner with machine learning engineers, BI, and solutions architects to develop technical architectures for F&N enterprise projects and initiatives. Learn about machine learning, data science, computer vision, artificial … and talented Associates, all guided by the Five Principles. Join a purpose driven company, where we're striving to build the world we want tomorrow, today. Best-in-class learning and development support from day one, including access to our in-house Mars University. An industry competitive salary and benefits package, including company bonus. Mars is an equal opportunity More ❯

all of the following Relational or non-relational databases using SQL or NoSQL Data Engineering skills using Python Modern Analytics architectures - Data Lakes/Data fabrics/Data mesh. Machine Learning and Generative AI use cases HTML, JavaScript, Angular XML, XSLT, JSON, SOAP, REST Cloud hardware services, containers, kubernetes, etc. Windows, Unix/Linux, MAC OS X API More ❯

technologies such as Microsoft 365, Azure, AWS, and Google Cloud Platform. Translate technical concepts into business-aligned language for non-technical stakeholders. Advise on emerging technologies like AI and machine learning, and how these can support client objectives. Help clients define and manage IT budgets, including cost-benefit analysis and ROI evaluation of IT investments. Service & Project Oversight More ❯

help brands across entertainment, tech, sports, and consumer goods maximise their marketing impact. You’ll be part of a collaborative Data Science team, working on large-scale datasets, building machine learning models, and delivering actionable insights for high-profile clients. Key Responsibilities Lead the development of … solutions for complex client challenges, defining clear success criteria. Support and mentor junior team members, fostering a collaborative environment. Independently manage client relationships and project expectations. Develop and deploy ML models, applying innovative approaches beyond basic feature engineering. Use Python, SQL, and Tableau for reporting and analysis within an AWS environment. Work closely with Data Engineering, Sales, and Market Research … statistical and machine learning expertise, with the ability to apply and evaluate various algorithms. Proficiency in Python (Pandas), SQL, and data analytics tools. Experience deploying and evaluating ML models in production environments. Ability to interpret complex datasets, drawing meaningful insights to drive business decisions. Strong communication skills, with experience in managing client relationships. A degree in a relevant More ❯

and operations colleagues drive AI adoption in these critical functions, whilst collaborating and supporting Science and NTR colleagues with their existing high-performance computing (HPC), machine learning (ML) and AI initiatives. This role requires deep understanding and significant experience of AI technologies, ideally with application in an engineering or manufacturing environment, and the ability to lead cross-functional … to deliver Proven experience in leading AI projects within an engineering and manufacturing environment Extensive experience in project management, team leadership, and strategic planning Strong understanding of AI technologies, machine learning algorithms, and data analytics Evidence of effective stakeholder management in a complex multi 1 stakeholder environment Track record of driving delivery, continuous improvement, and sustained performance focusing More ❯

bring solutions to life Helping upskill non-tech stakeholders across the Tax team Digging into processes, spotting inefficiencies, and automating the boring stuff Keeping up with emerging tech (AI, ML, RPA, etc.) and testing what actually works ?? What We're Looking For Proven experience with Python and SQL (data wrangling, automation, analytics) Understanding of tax or finance processes OR experience … you'll work closely with non-tech users) Bonus points if you have: Experience with Alteryx , Power BI , or data visualisation tools Knowledge of Agile , database design, or classic ML algorithms Certifications (e.g., ATT, Alteryx) or a data science background ?? What You'll Get Up to £65,000 + 26 days holiday (+ option to buy more) ?Why Join? You More ❯

bring solutions to life Helping upskill non-tech stakeholders across the Tax team Digging into processes, spotting inefficiencies, and automating the boring stuff Keeping up with emerging tech (AI, ML, RPA, etc.) and testing what actually works ?? What We're Looking For Proven experience with Python and SQL (data wrangling, automation, analytics) Understanding of tax or finance processes OR experience … you'll work closely with non-tech users) Bonus points if you have: Experience with Alteryx , Power BI , or data visualisation tools Knowledge of Agile , database design, or classic ML algorithms Certifications (e.g., ATT, Alteryx) or a data science background ?? What You'll Get Up to £65,000 + 26 days holiday (+ option to buy more) ?Why Join? You More ❯

AI era, with research outputs expected to be published in top conferences and contribute to Fujitsu’s business advancements. Mentoring interns and junior researchers to foster a culture of learning and innovation. Your Transferable Skills and Experience To be suitable for this opportunity, you will be pro-active in your approach, adaptable and able to demonstrate that you have … Proven expertise in machine learning, deep learning and AI, particularly in LLM and RAG technologies, with knowledge of LLM Agents, explainable AI and/or graph ML as a plus. Proficiency in Python, PyTorch and/or Tensorflow, and popular data science libraries, as well as development skills with Docker, Linux, GitHub/Gitlab, GPUs, and cloud More ❯

December 2026. What are we looking for? A seasoned data architect with 8+ years of experience in data architecture and engineering, specifically in the context of generative AI and machine learning applications. Strong expertise in designing scalable data models and architectures, with proficiency in cloud platforms such as AWS, GCP, or Azure, and familiarity with data warehousing solutions. … and talented Associates, all guided by the Five Principles. Join a purpose driven company, where we're striving to build the world we want tomorrow, today. Best-in-class learning and development support from day one, including access to our in-house Mars University. An industry competitive salary and benefits package, including company bonus. Mars is an equal opportunity More ❯

Hadoop. Familiarity with containerization and orchestration tools such as Docker and Kubernetes. Experience with monitoring and alerting tools such as Prometheus, Grafana, or ELK for data infrastructure. Understanding of ML algorithms, their development and implementation Confidence developing end-to-end solutions Experience with infrastructure as code e.g. Terraform, Ansible If you are a skilled Data Systems Engineer with the required More ❯

Hadoop. Familiarity with containerization and orchestration tools such as Docker and Kubernetes. Experience with monitoring and alerting tools such as Prometheus, Grafana, or ELK for data infrastructure. Understanding of ML algorithms, their development and implementation Confidence developing end-to-end solutions Experience with infrastructure as code e.g. Terraform, Ansible If you are a skilled Data Systems Engineer with the required More ❯

AND EXPERIENCE: The ideal Senior Data Analyst will have: Proficiency in Python or R , with hands-on experience building analytical models. Strong knowledge of statistical techniques , from regressions to machine learning algorithms. Excellent SQL and data manipulation skills , with experience working on large, complex datasets. Familiarity with cloud data platforms such as AWS, Azure, or Redshift. A creative More ❯

Technical Skills (desirable): Microsoft Azure Data Services (e.g., Azure Data Factory, Synapse, Databricks, Fabric) Data warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience: 5+ years working with Microsoft data platforms 5+ More ❯

Technical Skills (desirable): Microsoft Azure Data Services (e.g., Azure Data Factory, Synapse, Databricks, Fabric) Data warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience: 5+ years working with Microsoft data platforms 5+ More ❯

related field. Experience with remote sensing technologies and water quality monitoring equipment is desirable. Experience working with government agencies and environmental regulations is desirable. Experience using Artificial Intelligence/Machine Learning to aid interpretation/prediction of water quality is desirable. What's in it for you? Competitive salary from £55,000 to £65,000 per annum, depending More ❯

on delivering business value through advanced and emerging technologies. In close collaboration with I&T, this role oversees the design, development, and deployment of analytics, automation, and AI/ML solutions across the R&D value chain. The leader partners with RDLT, TES LT, I&T, and external innovation ecosystems to identify and apply disruptive technologies that enable measurable transformation. … experimentation and innovation, ensuring feasibility, compliance, and user adoption Establish metrics to measure the impact of digital interventions on cycle times, quality, and outcomes Oversee partnerships with AI/ML vendors, academic collaborators, and industry consortia Build internal capabilities and talent pipelines for digital and analytics functions Ensure that all AI, automation, and advanced analytics solutions are implemented in a … 15+ years of experience in digital leadership or advanced analytics/AI roles within R&D-driven pharmaceutical industry Deep knowledge of life sciences and experience applying AI/ML and automation in scientific or regulatory domains Demonstrated ability to deliver AI-enabled tools in regulated environments Strong cross-functional collaboration and change leadership skills Expertise in digital product lifecycle More ❯

on delivering business value through advanced and emerging technologies. In close collaboration with I&T, this role oversees the design, development, and deployment of analytics, automation, and AI/ML solutions across the R&D value chain. The leader partners with RDLT, TES LT, I&T, and external innovation ecosystems to identify and apply disruptive technologies that enable measurable transformation. … experimentation and innovation, ensuring feasibility, compliance, and user adoption Establish metrics to measure the impact of digital interventions on cycle times, quality, and outcomes Oversee partnerships with AI/ML vendors, academic collaborators, and industry consortia Build internal capabilities and talent pipelines for digital and analytics functions Ensure that all AI, automation, and advanced analytics solutions are implemented in a … 15+ years of experience in digital leadership or advanced analytics/AI roles within R&D-driven pharmaceutical industry Deep knowledge of life sciences and experience applying AI/ML and automation in scientific or regulatory domains Demonstrated ability to deliver AI-enabled tools in regulated environments Strong cross-functional collaboration and change leadership skills Expertise in digital product lifecycle More ❯

on delivering business value through advanced and emerging technologies. In close collaboration with I&T, this role oversees the design, development, and deployment of analytics, automation, and AI/ML solutions across the R&D value chain. The leader partners with RDLT, TES LT, I&T, and external innovation ecosystems to identify and apply disruptive technologies that enable measurable transformation. … experimentation and innovation, ensuring feasibility, compliance, and user adoption Establish metrics to measure the impact of digital interventions on cycle times, quality, and outcomes Oversee partnerships with AI/ML vendors, academic collaborators, and industry consortia Build internal capabilities and talent pipelines for digital and analytics functions Ensure that all AI, automation, and advanced analytics solutions are implemented in a … 15+ years of experience in digital leadership or advanced analytics/AI roles within R&D-driven pharmaceutical industry Deep knowledge of life sciences and experience applying AI/ML and automation in scientific or regulatory domains Demonstrated ability to deliver AI-enabled tools in regulated environments Strong cross-functional collaboration and change leadership skills Expertise in digital product lifecycle More ❯

of R&D processes, including discovery, translational, clinical development, and regulatory submissions Proven experience in enterprise data governance, architecture, and platform design in GxP environments. Familiarity with AI/ML enablement, though not focused on algorithm development. Strong stakeholder engagement, communication, and change leadership skills. Expertise with modern data stack: cloud platforms, data lakes, FAIR principles, and standards like CDISC More ❯

of R&D processes, including discovery, translational, clinical development, and regulatory submissions Proven experience in enterprise data governance, architecture, and platform design in GxP environments. Familiarity with AI/ML enablement, though not focused on algorithm development. Strong stakeholder engagement, communication, and change leadership skills. Expertise with modern data stack: cloud platforms, data lakes, FAIR principles, and standards like CDISC More ❯

of R&D processes, including discovery, translational, clinical development, and regulatory submissions Proven experience in enterprise data governance, architecture, and platform design in GxP environments. Familiarity with AI/ML enablement, though not focused on algorithm development. Strong stakeholder engagement, communication, and change leadership skills. Expertise with modern data stack: cloud platforms, data lakes, FAIR principles, and standards like CDISC More ❯

Graduate Technical Support and Graduate IT Engineer capacity. This is a fantastic opportunity for recent graduates who want to work with cutting-edge technologies including SaaS, Cloud, NLP, AI, Machine Learning, and Data Science . As a Graduate Technical Engineer , you will receive comprehensive training in software development, AI technologies, IoT, cloud applications, contact centre solutions, and more. … Natural Sciences, Electronic or Electrical Engineering . Strong A-Level results (A-B grades) or BTEC at Distinction level. A passion for working with advanced technologies such as AI, Machine-to-Machine Learning, Cloud Applications, Unified Communications, IT Security , and project applications. Excellent client-facing skills and a genuine commitment to delivering high-quality customer service. Good More ❯

Technical Support/Graduate IT Enginee r 35-38k, Trainee. SaaS, Cloud, NLP, AI, Machine Learning, Data Sience, Python, MATLAB, Software Development Tools, Technical Support, Client facing, Computer Science, STEM, Mathematics, Physics, Natural Science, Electronic Engineering Graduate, who want to work with awesome Technologies such as, AI, Machine2Machine Learning, Cloud Applications, Unified Communications, Software Solutions IT … going basis. Must have excellent client facing, problem solving skills, and solid attention to detail. Salary 37-38k. (Training in Software Development, AI technologies, IOT, Contact Centre application, Machine Learning, SaaS, Cloud Applications), and more. Very Much of a Customer facing CX ROLE. Our clients take pride in their core beliefs of teamwork, quality and agility. Time … Person : Technical Supporting/Graduate IT Engineer 2:1 Bachelors Degree in Computer Science/STEM/Mathematics/Physics/Chemistry/Electronic/Electrical Engineering, Natural Science, Learning and Developing their skills, (Life learner attitude) Experience communicating technical information to a variety of technical and non-technical people Experience or knowledge of database query language (i.e. SQL More ❯