126 to 150 of 655 Algorithms Jobs in England

and address the problems they are solving today and tomorrow. Guide key application developers, contribute directly to the applications, develop reference codes or libraries. Create and optimize core parallel algorithms and data structures to provide the best solutions using the NVIDIA platform. Join efforts with diverse groups at NVIDIA such as the architecture, research, libraries, tools, system software, and product More ❯

someone who combines strong engineering fundamentals with practical ML delivery experience, and who enjoys working collaboratively in agile teams. Youll bring: Strong Python development skills and solid grasp of algorithms, data structures and cloud concepts. Experience contributing to solution design and familiarity with architectural patterns/frameworks. Proven delivery of serverless pipelines in Azure/AWS/GCP (Azure highly More ❯

and historical race data, improving vehicle performance and strategic decision-making. Collaborate with engineering teams to integrate AI-driven solutions into vehicle design and race operations. Utilize machine learning algorithms to predict race outcomes, optimize pit stop strategies, and enhance driver performance. Stay abreast of the latest advancements in AI and motorsport technologies, applying innovative solutions to maintain Lola's More ❯

and deployment of high-performance real-time software applications within distributed, containerized environments. You will support the development of advanced sonar systems and autonomous undersea vehicles, taking models and algorithms and transforming them into robust, operational software . Your expertise will ensure the seamless operation of these systems, enhancing capabilities in undersea security, mine countermeasures, and subsea infrastructure monitoring. Location More ❯

and deployment of high-performance real-time software applications within distributed, containerized environments. You will support the development of advanced sonar systems and autonomous undersea vehicles, taking models and algorithms and transforming them into robust, operational software . Your expertise will ensure the seamless operation of these systems, enhancing capabilities in undersea security, mine countermeasures, and subsea infrastructure monitoring. Location More ❯

working Skills: Commercial Acumen, Communication, Data Analysis, Data cleansing and transformation, Data domain knowledge, Data Integration, Data Management, Data Manipulation, Data Sourcing, Data strategy and governance, Data Structures and Algorithms (Inactive), Data visualization and interpretation, Digital Security, Extract, transform and load, Group Problem Solving Legal Disclaimer: We are an equal opportunity employer and value diversity at our company. We do More ❯

exposure to financial markets, trading systems, and quantitative research What We're Looking For Strong programming skills in C#/.NET Solid grasp of computer science fundamentals (data structures, algorithms, design patterns) Analytical mindset with a genuine interest in finance and quantitative methods Bachelor's or Master's degree in Computer Science, Mathematics, Engineering, or related field Why Join Us More ❯

delivery, and software product design. What You'll Be Doing Lead technical project delivery and shape data science strategy across multiple client engagements Define and implement bespoke machine learning algorithms to solve real-world defence problems Guide technical scoping and planning, working closely with stakeholders to ensure feasibility and impact Mentor and support other data scientists across project teams Contribute More ❯

delivery, and software product design. What You'll Be Doing Lead technical project delivery and shape data science strategy across multiple client engagements Define and implement bespoke machine learning algorithms to solve real-world defence problems Guide technical scoping and planning, working closely with stakeholders to ensure feasibility and impact Mentor and support other data scientists across project teams Contribute More ❯

What We're Looking For Strong expertise in Python (typically 6+ years) building production-grade software in financial services, trading or data-intensive domains. Solid grasp of data structures, algorithms and software design. Experience with cloud platforms (AWS/Azure), distributed data platforms or data warehouses. Familiarity with quantitative analysis, risk models or front-office systems is advantageous. Proven track More ❯

that will challenge you technically and allow you to develop your skills and knowledge with like-minded engineers. Keywords: Python, PyTorch, TensorFlow, Sensors, Embedded Systems, Hardware Interface, Mobile OS, Algorithms, Statistics, Machine Learning, Defence, Security Clearance, Start Up Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact us now More ❯

engineers, data managers and business partners. You will be part of a team whose responsibilities include: Building scalable, reusable, impactful data science products, usually containing statistical or machine learning algorithms, in collaboration with data engineers and software engineers. Carrying out data analyses to yield actionable business insights. Adhering to and advocating for data science and best practices (e.g. technical design More ❯

high-performance C++ software solutions . Translate mathematical and algorithmic models into efficient, production-quality code. Contribute to model-driven engineering , combining both autogenerated and manually written code. Validate algorithms through MATLAB/Simulink simulation. Design and maintain robust software architectures using UML modelling tools (e.g. IBM Rhapsody). Apply best practices in static analysis , clean coding , and version control More ❯

high-performance C++ software solutions . Translate mathematical and algorithmic models into efficient, production-quality code. Contribute to model-driven engineering , combining both autogenerated and manually written code. Validate algorithms through MATLAB/Simulink simulation. Design and maintain robust software architectures using UML modelling tools (e.g. IBM Rhapsody). Apply best practices in static analysis , clean coding , and version control More ❯

on important AI/ML problems. Specialised hardware has been the key driver of the progress of AI over the last decade, and we believe that hardware-aware AI algorithms and AI-aware hardware developments will continue to be critical to advancing this exciting field. As such, we're looking for candidates who are keen scientists and engineers, with the More ❯

on important AI/ML problems. Specialised hardware has been the key driver of the progress of AI over the last decade, and we believe that hardware-aware AI algorithms and AI-aware hardware developments will continue to be critical to advancing this exciting field. As such, we're looking for candidates who are keen scientists and engineers, with the More ❯

tools like auto-scaling, Infrastructure as Code, and continuous delivery methodologies to optimize performance and accelerate delivery Key Responsibilities: Machine Learning Solution Development: Design, develop and deploy ML models, algorithms and agentic AI systems to address complex business challenges across a range of sectors Cloud & MLOps Management: Lead the implementation of ML solutions on AWS cloud (with heavy use of … in all ML workflows Required Qualifications & Experience: Education: Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or related field. Strong foundation in statistics and algorithms is expected Experience: 5+ years of hands-on experience in machine learning or data science roles, with a track record of building and deploying ML models into production. Prior experience … a plus for a lead role Programming & ML Skills: Advanced programming skills in Python (including libraries such as pandas, scikit-learn, TensorFlow/PyTorch). Solid understanding of ML algorithms, model evaluation techniques, and optimisation. Experience with NLP techniques, generative AI or financial data modelling is advantageous Cloud & DevOps: Proven experience with AWS cloud services relevant to data science – particularly More ❯

tools like auto-scaling, Infrastructure as Code, and continuous delivery methodologies to optimize performance and accelerate delivery Key Responsibilities: Machine Learning Solution Development: Design, develop and deploy ML models, algorithms and agentic AI systems to address complex business challenges across a range of sectors Cloud & MLOps Management: Lead the implementation of ML solutions on AWS cloud (with heavy use of … in all ML workflows Required Qualifications & Experience: Education: Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or related field. Strong foundation in statistics and algorithms is expected Experience: 5+ years of hands-on experience in machine learning or data science roles, with a track record of building and deploying ML models into production. Prior experience … a plus for a lead role Programming & ML Skills: Advanced programming skills in Python (including libraries such as pandas, scikit-learn, TensorFlow/PyTorch). Solid understanding of ML algorithms, model evaluation techniques, and optimisation. Experience with NLP techniques, generative AI or financial data modelling is advantageous Cloud & DevOps: Proven experience with AWS cloud services relevant to data science – particularly More ❯

tools like auto-scaling, Infrastructure as Code, and continuous delivery methodologies to optimize performance and accelerate delivery Key Responsibilities: Machine Learning Solution Development: Design, develop and deploy ML models, algorithms and agentic AI systems to address complex business challenges across a range of sectors Cloud & MLOps Management: Lead the implementation of ML solutions on AWS cloud (with heavy use of … in all ML workflows Required Qualifications & Experience: Education: Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or related field. Strong foundation in statistics and algorithms is expected Experience: 5+ years of hands-on experience in machine learning or data science roles, with a track record of building and deploying ML models into production. Prior experience … a plus for a lead role Programming & ML Skills: Advanced programming skills in Python (including libraries such as pandas, scikit-learn, TensorFlow/PyTorch). Solid understanding of ML algorithms, model evaluation techniques, and optimisation. Experience with NLP techniques, generative AI or financial data modelling is advantageous Cloud & DevOps: Proven experience with AWS cloud services relevant to data science – particularly More ❯

tools like auto-scaling, Infrastructure as Code, and continuous delivery methodologies to optimize performance and accelerate delivery Key Responsibilities: Machine Learning Solution Development: Design, develop and deploy ML models, algorithms and agentic AI systems to address complex business challenges across a range of sectors Cloud & MLOps Management: Lead the implementation of ML solutions on AWS cloud (with heavy use of … in all ML workflows Required Qualifications & Experience: Education: Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or related field. Strong foundation in statistics and algorithms is expected Experience: 5+ years of hands-on experience in machine learning or data science roles, with a track record of building and deploying ML models into production. Prior experience … a plus for a lead role Programming & ML Skills: Advanced programming skills in Python (including libraries such as pandas, scikit-learn, TensorFlow/PyTorch). Solid understanding of ML algorithms, model evaluation techniques, and optimisation. Experience with NLP techniques, generative AI or financial data modelling is advantageous Cloud & DevOps: Proven experience with AWS cloud services relevant to data science – particularly More ❯

tools like auto-scaling, Infrastructure as Code, and continuous delivery methodologies to optimize performance and accelerate delivery Key Responsibilities: Machine Learning Solution Development: Design, develop and deploy ML models, algorithms and agentic AI systems to address complex business challenges across a range of sectors Cloud & MLOps Management: Lead the implementation of ML solutions on AWS cloud (with heavy use of … in all ML workflows Required Qualifications & Experience: Education: Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or related field. Strong foundation in statistics and algorithms is expected Experience: 5+ years of hands-on experience in machine learning or data science roles, with a track record of building and deploying ML models into production. Prior experience … a plus for a lead role Programming & ML Skills: Advanced programming skills in Python (including libraries such as pandas, scikit-learn, TensorFlow/PyTorch). Solid understanding of ML algorithms, model evaluation techniques, and optimisation. Experience with NLP techniques, generative AI or financial data modelling is advantageous Cloud & DevOps: Proven experience with AWS cloud services relevant to data science – particularly More ❯

tools like auto-scaling, Infrastructure as Code, and continuous delivery methodologies to optimize performance and accelerate delivery Key Responsibilities: Machine Learning Solution Development: Design, develop and deploy ML models, algorithms and agentic AI systems to address complex business challenges across a range of sectors Cloud & MLOps Management: Lead the implementation of ML solutions on AWS cloud (with heavy use of … in all ML workflows Required Qualifications & Experience: Education: Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or related field. Strong foundation in statistics and algorithms is expected Experience: 5+ years of hands-on experience in machine learning or data science roles, with a track record of building and deploying ML models into production. Prior experience … a plus for a lead role Programming & ML Skills: Advanced programming skills in Python (including libraries such as pandas, scikit-learn, TensorFlow/PyTorch). Solid understanding of ML algorithms, model evaluation techniques, and optimisation. Experience with NLP techniques, generative AI or financial data modelling is advantageous Cloud & DevOps: Proven experience with AWS cloud services relevant to data science – particularly More ❯

tools like auto-scaling, Infrastructure as Code, and continuous delivery methodologies to optimize performance and accelerate delivery Key Responsibilities: Machine Learning Solution Development: Design, develop and deploy ML models, algorithms and agentic AI systems to address complex business challenges across a range of sectors Cloud & MLOps Management: Lead the implementation of ML solutions on AWS cloud (with heavy use of … in all ML workflows Required Qualifications & Experience: Education: Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or related field. Strong foundation in statistics and algorithms is expected Experience: 5+ years of hands-on experience in machine learning or data science roles, with a track record of building and deploying ML models into production. Prior experience … a plus for a lead role Programming & ML Skills: Advanced programming skills in Python (including libraries such as pandas, scikit-learn, TensorFlow/PyTorch). Solid understanding of ML algorithms, model evaluation techniques, and optimisation. Experience with NLP techniques, generative AI or financial data modelling is advantageous Cloud & DevOps: Proven experience with AWS cloud services relevant to data science – particularly More ❯

tools like auto-scaling, Infrastructure as Code, and continuous delivery methodologies to optimize performance and accelerate delivery Key Responsibilities: Machine Learning Solution Development: Design, develop and deploy ML models, algorithms and agentic AI systems to address complex business challenges across a range of sectors Cloud & MLOps Management: Lead the implementation of ML solutions on AWS cloud (with heavy use of … in all ML workflows Required Qualifications & Experience: Education: Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or related field. Strong foundation in statistics and algorithms is expected Experience: 5+ years of hands-on experience in machine learning or data science roles, with a track record of building and deploying ML models into production. Prior experience … a plus for a lead role Programming & ML Skills: Advanced programming skills in Python (including libraries such as pandas, scikit-learn, TensorFlow/PyTorch). Solid understanding of ML algorithms, model evaluation techniques, and optimisation. Experience with NLP techniques, generative AI or financial data modelling is advantageous Cloud & DevOps: Proven experience with AWS cloud services relevant to data science – particularly More ❯

tools like auto-scaling, Infrastructure as Code, and continuous delivery methodologies to optimize performance and accelerate delivery Key Responsibilities: Machine Learning Solution Development: Design, develop and deploy ML models, algorithms and agentic AI systems to address complex business challenges across a range of sectors Cloud & MLOps Management: Lead the implementation of ML solutions on AWS cloud (with heavy use of … in all ML workflows Required Qualifications & Experience: Education: Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or related field. Strong foundation in statistics and algorithms is expected Experience: 5+ years of hands-on experience in machine learning or data science roles, with a track record of building and deploying ML models into production. Prior experience … a plus for a lead role Programming & ML Skills: Advanced programming skills in Python (including libraries such as pandas, scikit-learn, TensorFlow/PyTorch). Solid understanding of ML algorithms, model evaluation techniques, and optimisation. Experience with NLP techniques, generative AI or financial data modelling is advantageous Cloud & DevOps: Proven experience with AWS cloud services relevant to data science – particularly More ❯