1 to 25 of 110 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 ❯

visible impact. Please click here to view the full job description Essential Skills & Experience: Strong fundamentals in statistics, probability, mathematical modeling, and computational thinking. Deep understanding of machine learning algorithms, optimization, architectures, and evaluation. Experience with data engineering workflows, including ETL, pipeline design, and feature extraction. Proficiency in Python and libraries such as PyTorch, TensorFlow, scikit-learn, Hugging Face, LangChain More ❯

expertise to transform complex agricultural and earth observation data into actionable insights that drive innovation in Syngenta's Computational Agronomy Department. This role will develop cutting-edge models and algorithms that enable data-informed agricultural decision-making, supporting Syngenta's mission to improve global food security and sustainable farming practices. Working within cross-functional teams, the Geospatial Data Scientist will 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 ❯

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 ❯

with the team. Requirements Proven experience as a Solutions Architect or in a similar role with a strong focus on AI and machine learning. Solid understanding of machine learning algorithms, data structures, and statistical modelling. Experience with AI frameworks and libraries such as TensorFlow, PyTorch, or Scikit-learn. Strong programming skills in languages such as Python, Java, or Scala. Strong More ❯

offices or a client location) for collaboration sessions, customer meetings, and internal workshops. What You'll Do Strong grasp of statistics and probability fundamentals Solid understanding of machine learning algorithms for supervised and unsupervised learning Understanding of Transformer based models Experience developing AI agents Strong Python and SQL skills Experience with Cloud ML tools and version control (e.g. git) Experience More ❯

learn. Experience with cloud services for mode training and deployment. Machine Learning Fundamentals Statistical concepts for robust data analysis. Linear algebra principles for modelling and optimisation. Calculus for optimising algorithms and models. Predictive modelling techniques for regression and classification. Time series analysis for handling time-dependant data. Deep learning and neural networks. LLM Operations Expertise in managing and operationalising large 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 ❯

quantitative expertise to train, evaluate, and refine cutting-edge AI models for real-world, high-speed market applications. Responsibilities Collaborate with AI researchers to design, train, and validate trading algorithms and quantitative models, including high-frequency trading strategies. Apply advanced mathematical, statistical, and computational methods to improve model stability, execution accuracy, latency performance, and market adaptability. Evaluate and refine algorithmic 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 ❯

preferably Git. Proficiency in Docker and container orchestration. Advanced proficiency in Python and familiarity with AI and machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Strong understanding of algorithms, data structures, and software engineering principles. Experience in deploying AI models in a production environment. Proven ability to collaborate effectively with cross-functional teams and manage project timelines. Exceptional problem More ❯

practices for model monitoring, automation, and lifecycle management. Significant leadership experience in managing data science/R&D teams and driving technology innovation. Extensive experience in AI/ML algorithms, statistical modeling, and scalable data processing pipelines, with a strong background in modern data platforms (e.g., Snowflake, Databricks), cloud-based technologies, data mesh architectures, and big data ecosystems. Experience with 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 ❯

/span><\/div> Experience developing high -performance software in modern C++ (C++14/17/20). <\/span><\/span><\/li> Deep understanding of data structures, algorithms, and multithreading/concurrency. <\/span><\/span><\/li> Strong grasp of low -latency system design, network programming, and memory management. <\/span><\/span><\/li> Proven track More ❯

when not to. Understand the difference between AI-assistance and outsourcing your thinking. Use AI to enhance speed, quality, reliability, and documentation. Have a strong engineering foundation for debugging, algorithms, and systems without relying on LLMs. We are not looking for vibe coders. We want thoughtful engineers who use AI as leverage, not a crutch. Personal Qualities Comfortable collaborating synchronously More ❯

scientists to extra ct value from our data assets and maximise customer value. What you'll do: Producing high quality, actionable insights through advanced analytics and cutting-edge predictive algorithms : work as a self-starter and be actively curious about what numbers are telling us and how they can be actioned upon to improve our customer experience . Designing and More ❯

A developer of optical network systems is now looking for a Systems Optimisation Engineer to develop intelligent test frameworks and optimisation algorithms for optical network system. This cross-disciplinary role blends software engineering, algorithm development, and hardware test integration to reduce test time, improve throughput, and enhance performance analysis. Joining the Optical Network Integration Team, you will collaborate closely with More ❯

knowledge of databases (SQL or Oracle) You're comfortable with JavaScript/React You have a thorough knowledge of Computer Science fundamentals such as OOP, Design Patterns, Data Structures, Algorithms You are collaborative with excellent communication and stakeholder management skills You are degree educated in Computer Science or similar technical discipline What's in it for you: As a Senior More ❯

identifying opportunities for optimisation* Supporting sprint planning, estimation and shaping a healthy product backlog What you'll need to bring * Strong hands-on Python skills and solid grounding in algorithms and software engineering* Experience designing ML/AI solutions and working with common architecture patterns* Background in serverless data/ML pipelines (Azure preferred, AWS/GCP welcome)* Proficiency in More ❯