1 to 25 of 29 Machine Learning Jobs in Berkshire

to help take cutting-edge approaches and turn them into performant and robust solutions for our customers' problems. Your responsibilities include: Creating AI/ML solutions for signal processing, geospatial data modelling, image processing and high-fidelity simulations of physical systems. Collaborating with colleagues across the team (Product Managers, Machine Learning Scientists, Machine Learning Software Engineers). Maintaining a good working knowledge of state-of-the-art ML methods, software tools, and implementation methods. Working closely with platform-engineers to provide ideas and advice on ML techniques. Evaluating scientific concepts for viability of implementation. Ensuring scientific … delivery process. Writing maintainable production-code and promoting best practices for code quality. Attending client meetings as required. Delivering training to customers on core ML concepts and Mind Foundry products and solutions. Attending appropriate scientific conferences and events. Mentoring colleagues in research or Machine Learning/Data Science. More ❯

Job Title: Machine Learning & Data Scientist Location: Reading, UK (Hybrid) Salary: Up to £80,000 per annum About Us: We are dedicated to enhancing the global growth and resilience of renewable energy transmission by delivering intelligent, autonomous robotic monitoring solutions for high-voltage assets. Our mission focuses on … supporting power transmission operators worldwide with advanced technologies. Role Overview: We are seeking a Machine Learning & Data Scientist to join our dynamic team. The ideal candidate will have experience in developing multimodal models and a background in condition monitoring, particularly concerning high-voltage assets. This role offers the … opportunity to contribute significantly to the development of AI-powered analytics for autonomous robotic systems. Key Responsibilities: Develop and implement machine learning algorithms, focusing on multimodal data integration. Design and deploy predictive models for condition monitoring of high-voltage assets. Collaborate with cross-functional teams to integrate AI More ❯

are looking for a mid-level Data Scientist to join our client's growing team. You will use your skills in data analysis and machine learning to uncover insights, build predictive models, and support decision-making across various projects. You’ll also work closely with engineers, product teams … days holidays Group Life assurance scheme Long Term Disability Scheme Key Responsibilities: Explore large datasets to identify patterns and insights Build and improve machine learning models to solve business problems Design and analyze experiments (A/B testing, etc.) Data Engineering Support Work with data engineers to ensure … to junior team members Requirements: Bachelor’s degree in Data Science, Statistics, Math, or similar 2+ years in data science or analytics Experience building machine learning models and analyzing data Background in designing experiments or solving real-world problems with data Strong coding skills in Python or R More ❯

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 … 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. More ❯

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 … 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 … 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. More ❯

and support decision making. KEY RESPONSIBILITIES Data Analysis & Modelling: -Analyse large, complex datasets to identify trends, patterns, and actionable insights. -Develop, implement, and optimize machine learning models to solve business problems. -Conduct A/B testing and experimental analysis to validate hypotheses. Data Management & Engineering: -Collaborate with data … Statistics, Mathematics, or a related field. Experience: -2 or more years of experience in a data science or analytics role. -Proven experience in building machine learning models, statistical analysis, and predictive analytics. -Experience designing experiments or modelling approaches to solve a specified business problem. PREFERRED QUALIFICATIONS -Proficiency in More ❯

data-driven decision-making on a global scale. Key Responsibilities: Analyse large data sets to identify trends and generate actionable insights. Develop and optimise machine learning models to address business challenges. Collaborate with data engineering teams to ensure data quality and efficiency. Present findings to both technical and … field. 2+ years of experience in a data science or analytics role. Proficiency in Python or R, SQL, and data visualisation tools. Experience with machine learning models and statistical analysis. Preferred Skills: Familiarity with AWS and experiment design. Strong problem-solving and communication skills. What's on Offer More ❯

AI Engineer - 60,000 - Remote My client, a Microsoft partner, is looking for a AI/ML Engineer to join their rapidly growing Data and AI team. This is a remote position as the client values work life balance and flexibility. In this role you will utilise the latest AI … technologies including Machine Learning, Gen AI and Open AI whilst working on various different projects. You will collaborate with clients to understand their business needs and provide them with AI based solutions. Requirements: -Experience in Data Science, Machine Learning and AI tech -Azure cloud technology experience More ❯

AI Engineer - £60,000 - Remote My client, a Microsoft partner, is looking for a AI/ML Engineer to join their rapidly growing Data and AI team. This is a remote position as the client values work life balance and flexibility. In this role you will utilise the latest AI … technologies including Machine Learning, Gen AI and Open AI whilst working on various different projects. You will collaborate with clients to understand their business needs and provide them with AI based solutions. Requirements: -Experience in Data Science, Machine Learning and AI tech -Azure cloud technology experience More ❯

and communication skills, with experience working with senior management. Understanding of business drivers and processes, with the ability to relate technology to segment priorities. Learning agility and a desire to adopt new technologies. Proven ability to influence and deliver results in a matrixed organization. What will be your key … tools and platforms across Demand, Supply, R&D, and Commercial areas. Develop communication and training plans on analytics and data engineering standards. Collaborate with ML engineers and architects on technical architectures for enterprise projects. Stay informed about advances in machine learning, data science, and AI. What can you … with talented colleagues guided by our Five Principles. Be part of a purpose-driven company aiming to build a better tomorrow. Receive top-tier learning and development support, including Mars University. Enjoy a competitive salary and benefits, including bonuses. Mars is an equal opportunity employer. All qualified applicants will More ❯

What Will Give You A Competitive Edge (Preferred Qualifications): Masters degree in a technical discipline Exposure to aerodynamics engineering Advanced knowledge of Artificial Intelligence & Machine Learning Development experience with VR frameworks such as Unity, Unreal Engine Experience with data streaming technologies such as Akka/Pekko, MQTT, Pulsar More ❯

What Will Give You A Competitive Edge (Preferred Qualifications): Masters degree in a technical discipline Exposure to aerodynamics engineering Advanced knowledge of Artificial Intelligence & Machine Learning Development experience with VR frameworks such as Unity, Unreal Engine Experience with data streaming technologies such as Akka/Pekko, MQTT, Pulsar More ❯

warehouses and ETL processes. Experience writing SQL and/or SQLX. Understanding of observability practices including logging, monitoring, and alerting. Interest in AI/ML technologies and their practical business applications. Bachelor's degree in computer science/software engineering. Rewards & Perks at SquaredUp: Competitive Compensation: If you have the More ❯

complex information clearly and concisely to various audiences. Understanding and experience with Data Science, including development and implementation of advanced analytics models, such as machine learning and statistical models Knowledge of Palantir Foundry and its data integration and analytics capabilities Understanding of how to present metrics and management More ❯

complex information clearly and concisely to various audiences. Understanding and experience with Data Science, including development and implementation of advanced analytics models, such as machine learning and statistical models Knowledge of Palantir Foundry and its data integration and analytics capabilities Understanding of how to present metrics and management More ❯

customer trust. The Secret Sauce: Proven experience as a Product Manager , preferably in AI, analytics, data platforms, or SaaS products. Strong understanding of AI, machine learning, and data analytics , with experience bringing AI-powered products to market. Experience working in an agile, cross-functional and empowered product teams More ❯

due to security clearance matters) English language. In addition, any experience in the following would be beneficial Some knowledge and understanding of AI and ML concepts. Experience of Javascript, Typescript and associated frameworks and libraries, in particular React.js. Required skills Minimum 4 years experience managing and motivating a team. Degree More ❯

insightful pre-race planning, split-second identification of pivotal strategy inflection points during live race events. What You’ll Do Evolve existing AI/ML models for application in Sportscars: refining existing python code-base where appropriate and reimagining where necessary. Develop platform for running and interrogating Mote Carlo free … Work with teammates supporting other racing series to apply analysis techniques and modeling approaches to other series to validate processes and refine models. Transfer learning and approaches between the series in which GM Motorsports teams compete. #LI-LP2 Additional Job Description What You’ll Need (Required Qualifications) Bachelor’s … models and performing analysis to drive strategy decisions during live race events. Proficient programing in Python, MATLAB, or similar language. Familiarity with AI/ML modeling techniques and methods being developed and applied across industry. Strong organization skills, forward thinking mentality, and a superb attention to detail. Well-developed interpersonal More ❯

insightful pre-race planning, split-second identification of pivotal strategy inflection points during live race events. What You’ll Do Evolve existing AI/ML models for application in Sportscars: refining existing python code-base where appropriate and reimagining where necessary. Develop platform for running and interrogating Mote Carlo free … Work with teammates supporting other racing series to apply analysis techniques and modeling approaches to other series to validate processes and refine models. Transfer learning and approaches between the series in which GM Motorsports teams compete. #LI-LP2 Additional Job Description What You’ll Need (Required Qualifications) Bachelor’s … models and performing analysis to drive strategy decisions during live race events. Proficient programing in Python, MATLAB, or similar language. Familiarity with AI/ML modeling techniques and methods being developed and applied across industry. Strong organization skills, forward thinking mentality, and a superb attention to detail. Well-developed interpersonal More ❯

or React Strong experience with SQL Source control, ideally Git Agile Any experience in the following would be advantageous: Latest versions of .NET AI, Machine Learning JavaScript, TypeScript and associated frameworks Containers, Docker, Kubernetes NoSQL Test tools such as xUnit, Cypress, Selenium, Jest, SoapUI This is an exciting More ❯

Oracle, Hibernate, Spring, MongoDB, Quarkus, or React will be an advantage but not a must. Preferably also know Mobile Programming, Cloud computing, AI and Machine Learning, Accounting and Financial knowledge. Must be a team player with good communication and interpersonal skills. Fluent in English. Good Reasons to Join … you to feel comfortable in your working surroundings. Therefore, we are offering you flexible working hours and mobile working arrangements. We value teamwork, continuous learning, and diversity. Kuehne + Nagel is offering you a custom-made career - through individual planning and supervisors who support and advise you in every More ❯

Required Qualifications In computer science, engineering, analytics, mathematics, statistics, IT, or equivalent. Familiarity and comfort with Python, SQL, Docker, and Shell scripting. Java preferred but not necessary. Preferred Qualifications Experience with AWS technologies like Redshift and extracting value from large More ❯

is dedicated to creating innovative energy solutions. Our mission is to eliminate all wasted energy in buildings, significantly reducing global carbon emissions. By combining machine learning technology with behavioural change, we automate the process of finding and removing energy waste at scale. Our solution eliminates 30-50% of More ❯

in STEM subject from a Russell Group/Red Brick University Experience leading software development teams within AI projects Strong C# knowledge AI/ML concepts SQL Agile This is an exciting opportunity to join a market-leading global company experiencing rapid organic growth. If you are interested in this More ❯

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 … 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 … 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. More ❯