1 to 25 of 103 Permanent Algorithms Jobs in London

collaborative team where you'll work alongside engineers, product managers, and business stakeholders to shape data-driven products and strategies. Key Responsibilities: Develop and implement machine learning models and algorithms to solve real-world business challenges. Collaborate with cross-functional teams to identify opportunities where data science can create value. Conduct statistical analysis and data mining to extract insights from More ❯

data engineering solutions. If this sounds like you, we can't wait to hear from you! KEY RESPONSIBILITIES: Lead the design, development, and implementation of complex AI models and algorithms Define data collection, cleaning, and pre-processing strategies Architect and maintain robust data pipelines and data management systems Lead the training of machine learning models, ensuring high performance and scalability More ❯

candidates who have resided in the UK for the past 5 years and currently hold British citizenship. Responsibilities Lead the design, development, and implementation of complex AI models and algorithms Define data collection, cleaning, and pre-processing strategies Architect and maintain robust data pipelines and data management systems Lead the training of machine learning models, ensuring high performance and scalability More ❯

ll need to have Demonstrated enterprise experience developing software in C++ and Python A degree in Computer Science, Engineering, Mathematics, or equivalent practical experience Strong understanding of data structures, algorithms, and software design principles Experience designing and maintaining distributed, fault-tolerant systems Familiarity with CI/CD pipelines, automated testing, and agile development practices The ability to collaborate across teams More ❯

or equivalent experience in Computer Science, Software Engineering, or a related technical field Proficiency in two or more major programming languages (e.g., Python, C++, Go, Java) Strong grasp of algorithms, data structures, debugging, and code analysis Exceptional analytical, problem-solving, and written communication skills Prior experience with structured software evaluations, benchmarks, or code review is a plus Access to a More ❯

or equivalent experience in Computer Science, Software Engineering, or a related technical field Proficiency in two or more major programming languages (e.g., Python, C++, Go, Java) Strong grasp of algorithms, data structures, debugging, and code analysis Exceptional analytical, problem-solving, and written communication skills Prior experience with structured software evaluations, benchmarks, or code review is a plus Access to a More ❯

software development within a fast-paced, agile environment. Strong proficiency in Python (or similar modern backend language) and experience building RESTful APIs or microservices. Solid understanding of data structures, algorithms, and software design principles. Experience with cloud-based infrastructure (Google Cloud, AWS, or Azure) Passion for building customer-centric products and working collaboratively to solve complex technical challenges. We are More ❯

software development within a fast-paced, agile environment. Strong proficiency in Python (or similar modern backend language) and experience building RESTful APIs or microservices. Solid understanding of data structures, algorithms, and software design principles. Experience with cloud-based infrastructure (Google Cloud, AWS, or Azure) Passion for building customer-centric products and working collaboratively to solve complex technical challenges. We are More ❯

tools (e.g., Wireshark). Solace or similar messaging platforms. eFX pricing systems and algorithmic trading frameworks. Desirable Postgraduate qualification in computing, mathematics, or statistics. Experience with FX ECNs, pricing algorithms, FIX engines/APIs. Knowledge of FX Options and FIX packages. Competencies Ability to quickly learn and apply new technologies. Strong technical acumen and delivery focus. Clear communicator with the More ❯

field. 4+ years of hands-on software development experience in Java and Python Experience in developing cloud-ready, distributed, large-scale, data-intensive applications Strong understanding of data structures, algorithms, OOP, and design patterns Experience with data modelling, relational and NoSQL databases, and RESTful APIs. Experience with Kafka and other real-time messaging systems Experience with distributed caching technologies such More ❯

models on cloud platforms (Azure, AWS, or GCP) using MLOps and DevSecOps best practices. Continuous Improvement: Partner with the Product Owner to monitor model performance and user feedback, refining algorithms, enhancing features, and driving better product outcomes over time. Responsible AI: Embed principles of responsible and explainable AI throughout development to ensure outputs are trusted, transparent, and compliant with PwC More ❯

Strong command of Azure Cloud Services Deep experience with SQL Server and high-volume transactional systems Expertise in data architecture, performance optimisation , and scalable software design Solid understanding of algorithms, data structures, and computational complexity Bonus: Experience in FinTech or structured data environments with high reliability and scale Leadership Skills Visionary mindset with a hands-on engineering ethos Proven ability More ❯

Strong command of Azure Cloud Services Deep experience with SQL Server and high-volume transactional systems Expertise in data architecture, performance optimisation , and scalable software design Solid understanding of algorithms, data structures, and computational complexity Bonus: Experience in FinTech or structured data environments with high reliability and scale Leadership Skills Visionary mindset with a hands-on engineering ethos Proven ability More ❯

Strong command of Azure Cloud Services Deep experience with SQL Server and high-volume transactional systems Expertise in data architecture, performance optimisation , and scalable software design Solid understanding of algorithms, data structures, and computational complexity Bonus: Experience in FinTech or structured data environments with high reliability and scale Leadership Skills Visionary mindset with a hands-on engineering ethos Proven ability More ❯

actuarial analysts to develop machine learning and statistical models to predict outcomes, related to pension schemes, such as life expectancy, default risk, or investment returns. Identify appropriate machine learning algorithms and apply them to enhance predictions, automate decision-making processes, and improve client offerings. Machine Learning Operations: Responsible for designing, deploying, maintaining and refining statistical and machine learning models using More ❯

actuarial analysts to develop machine learning and statistical models to predict outcomes, related to pension schemes, such as life expectancy, default risk, or investment returns. Identify appropriate machine learning algorithms and apply them to enhance predictions, automate decision-making processes, and improve client offerings. Machine Learning Operations: Responsible for designing, deploying, maintaining and refining statistical and machine learning models using More ❯

extensive hands-on experience in ML engineering, with a proven track record of shipping production AI systems. Bring deep expertise in NLP, Computer Vision, and/or Multimodal LLM algorithms, with a strong foundation in statistics, optimization, and ML theory. Apply practical experience implementing distributed, multi-threaded, and scalable applications using frameworks such as Ray, Horovod, or DeepSpeed. Communicate complex More ❯

on involvement throughout the entire software development lifecycle Proven experience in guiding non-technical teams and consultants on best practices for scalable and reliable software development Expertise in optimizing algorithms and software design for computational efficiency Motivation to thrive in a fast-paced, client-focused environment, engaging directly with clients to shape new features for future product releases A collaborative More ❯

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 ❯

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 ❯

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 ❯

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 ❯