26 to 50 of 100 Computer Science Jobs in Berkshire

roles. 3+ years of professional experience in Python programming language. Solid understanding of machine learning algorithms, tools, and techniques, such as supervised. and unsupervised learning, transformer models, deep learning, computer vision, natural language processing, etc. Experience with common ML libraries and frameworks such as TensorFlow, PyTorch, Keras, Scikit-learn. Ability to work independently and collaboratively with multi-functional teams … and documentation for ML code. Familiarity with software engineering standard methodologies, such as version control, code review, CI/CD, etc. You might also have... Bachelor's degree in computer science, engineering, statistics, or related fields. Experience with price/discount optimization. Experience in working with large-scale and sophisticated data sets Experience in applying machine learning to More ❯

MLOps & DevOps: Production experience with Docker, Kubernetes, CI/CD pipelines (e.g., Jenkins, GitHub Actions), and Infrastructure as Code (Terraform). Qualifications Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or a related field. 6-8 years of professional, hands-on experience in software engineering, with a primary focus on building and deploying complex More ❯

engineering initiatives at scale. Extensive experience in designing, implementing, and optimising data solutions, supported by a history of successfully managing technical teams and projects. Exceptional coding skills. Degree in Computer Science, Software Engineering, or similar (applied to Data/Data Specialisation). Extensive experience in Data Engineering, in both Cloud & On-Prem, Big Data and Data Lake environments. More ❯

communication skills to document ideas and solutions. • Collaborative and curious practices to develop strong well thought through architectures, strategies, and solutions. Desirable • Bachelor's or Master's degree in Computer Science, Information Technology, or a related field. • Capital markets, asset management, or corporate banking financial institutions. • Familiarity with data governance and compliance regulations (e.g., GDPR, HIPAA). • Strong More ❯

Expertise: Extensive experience in designing, implementing, and optimizing data solutions, supported by a history of successfully managing technical teams and delivery of data projects. Exceptional coding skills. Degree in Computer Science, Software Engineering, or similar (applied to Data or with a Data Specialisation). Extensive experience in Data Engineering and Data Analytics. Expert knowledge in data technologies and More ❯

timeline or a system incident, and coordinate a resolution. Adaptable and calm under pressure when balancing fast delivery with reliability. Preferred Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Prior experience as a software engineer, SRE/DevOps engineer, or similar technical role is highly valued and will help deeply engage More ❯

strong focus on data-driven decision-making, they 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 … analysis within an AWS environment. Work closely with Data Engineering, Sales, and Market Research teams across the UK, US, and India. What We’re Looking For Experience in Data Science, with a proven track record of delivering impactful projects. Strong statistical and machine learning expertise, with the ability to apply and evaluate various algorithms. Proficiency in Python (Pandas), SQL … to drive business decisions. Strong communication skills, with experience in managing client relationships. A degree in a relevant field such as Mathematics, Statistics, Economics, Psychology, Sociology, Physics, Engineering, or Computer Science (Master’s or PhD is a plus). Interest or experience in TV viewing data, media, or marketing analytics is beneficial but not essential. If this role More ❯

of QA Engineers. Build succession plans and invest in professional growth within the team. Champion a culture of continuous improvement, recognition, and accountability. About You Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience). Strong experience in software QA, ideally within Agile/Scrum environments. In-depth knowledge of QA methodologies, tools, and More ❯

emerging trends such as data mesh, data products, and generative AI to strengthen the consultancy’s thought leadership. Required Skills & Experience Education: Bachelor’s or Master’s degree in Computer Science, Information Systems, Business, or related field. Experience: 10+ years in BI/Data Warehousing/Analytics, including 4+ years in pre-sales or solution architecture roles with More ❯

join our team on a contract basis. You will be responsible for designing, developing, and deploying deep learning models to solve complex real-world problems across domains such as computer vision, natural language processing, and time-series analysis. Key Responsibilities: Design and implement deep learning models using frameworks such as PyTorch or TensorFlow. Collaborate with data scientists, ML engineers … MLOps practices and tools (e.g., MLflow, DVC, Airflow). Strong problem-solving skills and ability to work independently in a fast-paced environment. Preferred Qualifications: MSc or PhD in Computer Science, Machine Learning, or related field. Experience with large-scale datasets and distributed training. Knowledge of model interpretability and responsible AI practices. Benefits: Flexible working arrangements (hybrid or More ❯

algorithms Collaborate with engineering team to bring analytical prototypes to production Generate actionable insights for business improvements Qualifications Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and More ❯

development Strong expertise in C#, .NET, and .NET Core Solid experience with Microsoft SQL Server Skilled in using Visual Studio and Git/SVN for version control Degree in Computer Science, Engineering, or related discipline Personal Attributes: Strong communicator and team motivator Logical, analytical, and methodical approach Calm under pressure with high attention to detail Passionate about both More ❯

vendors. Soft Skills: Strong leadership, communication, and organizational skills. Ability to work independently as well as in a team environment. Education: A bachelor’s degree in engineering, particularly in Computer Science, Software Engineering, or a related field, is highly desirable. At Kantar we have an integrated way of rewarding our people based around a simple, clear and consistent More ❯

engineering and end-to-end solutions ownership. Proficiency with Python and/or C# (other OO languages are a plus) Solid understanding of software architecture, algorithms, data structures and computer science fundamentals Interest or experience in quant finance Advanced knowledge of the python data science stack (Pandas, NumPy, SciPy) is a plus Strong academic background from a More ❯

in ACBS version upgrades and migration projects. - Excellent troubleshooting, analytical, and problem-solving skills with a track record of resolving complex application and interface issues. - Bachelor’s degree in Computer Science, Information Technology, or a related field; or equivalent practical experience. OTHER REQUIREMENTS (OPTIONAL) - Experience working within large-scale financial services environments. - Familiarity with regulatory and compliance requirements More ❯

ensure endpoint compliance and optimisation. Promote digital dexterity, automation, and agile working practices across the organisation. Mentor technical staff and champion best practices. Skills & Experience Degree in IT/Computer Science or equivalent experience. 2+ years with DEX tools or endpoint management/automation (Nexthink, ZDX) 3+ years supporting enterprise IT environments. Strong knowledge of ITIL, ITSM (e.g. More ❯

network deployment and field trials. Interface with hardware, software and system engineers to make sure system requirements can be fulfilled. Requirements Ph.D. holder or Master degree in Electronic Engineering, Computer Science or relevant disciplines with minimum 3 years of related experiences. Candidate with less experiences may also be considered. Solid knowledge of radio communications theory and digital signal More ❯

fast-paced environments, balance detail with big picture thinking, and take pride in delivering results that make a real impact. What You’ll Bring • Degree in Economics, Mathematics, Statistics, Computer Science, Business, or similar. • 3+ years in analytics, with lending or risk experience, credit card background is a big plus. • Strong SQL skills, plus confidence with Python/ More ❯

to travel for testing, training, and complex implementations. Youll be assisting in gathering system performance data and sharing insights with the Security Team. What youll bring Bachelors degree in Computer Science, IT, IP, or a related field (Masters degree is a plus). Youll have at least 5 years of experience in IP, focusing on technical design, implementation More ❯

to travel for testing, training, and complex implementations. Youll be assisting in gathering system performance data and sharing insights with the Security Team. What youll bring Bachelors degree in Computer Science, IT, IP, or a related field (Masters degree is a plus). Youll have at least 5 years of experience in IP, focusing on technical design, implementation More ❯

Desirable: Excellent understanding of Data and the challenges a large company faces with data and user experience Degree-qualified or professional knowledge in a relevant area including psychology, cognitive science, computer science. What you must have in your armory! 8+ years of experience in Digital Design Experience designing considered user interfaces for digital products and services Extensive knowledge More ❯

Specialist Location: Slough Visa and Relocation support is offered with this role. Today, Lonza is a global leader in life sciences operating across five continents. While we work in science, there's no magic formula to how we do it. Our greatest scientific solution is talented people working together, devising ideas that help businesses to help people. In exchange … implement, and maintain secure, scalable IT/OT interfaces between lab instruments (e.g., bioreactors, plate readers, liquid handlers) and informatics systems (ELN, LIMS, SDMS, etc.) Collaborate with IT, Data science and scientific teams in R&D to identify integration needs and define architecture for real-time or scheduled automated data transfer. Develop or configure middleware, APIs, and custom connectors … automated workflows to operational areas or QC environments outside of R&D when needed. Participate in required Lonza training programs. Key requirements: Bachelor's or Master's degree in Computer Science, Engineering, Scientific or a related field. Experience in a similar IT/OT integration or lab informatics/digitalisation role within biotech, pharma, or CDMO environment. Proven More ❯

machine learning techniques Strong programming skills in Python, C++, or similar; experience working with large datasets and research infrastructure Master’s or PhD in a quantitative field (e.g., Mathematics, Computer Science, Physics, Engineering, Statistics) Excellent communication skills and ability to work in a collaborative, performance-driven environment More ❯

Banking Brokerage Exchanges Experience & Qualifications Strong experience as a software developer, ideally in trading or fast-paced commercial environments. Proven ability to deliver scalable and maintainable solutions. Degree in Computer Science, Engineering, or related field (or equivalent experience). Professional certifications in relevant technologies are advantageous. What We Offer Hybrid working (London office 2–3 days per week More ❯

deliverables while managing risks and dependencies Act as a liaison between technical and non-technical stakeholders Ensure delivery of high-quality financial software solutions 🎯 Ideal Candidate Profile Degree in Computer Science, Engineering, or related field (preferred) 5+ years’ experience managing software development projects Proven experience delivering financial software solutions Strong Agile methodology knowledge and experience with project management More ❯