1 to 25 of 297 Algorithms Jobs in the UK excluding London

proposals to the architecture review board. â Ability to break down development tasks and lay out clear implementation roadmaps. â Implement and optimize computation algorithms â Design and develop both thin and thick client applications that interact with cloudbased microservices. â Ensure high code quality through unit testing, code reviews

Senior Machine Learning Research Engineer in Speech/Audio/Gen-AI, you will: Drive the research, design, development, and evaluation of innovative AI algorithms and models, with a primary focus on audio and speech processing. Lead the development of robust and scalable software solutions for deployment on flagship mobile

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

frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and data science tools (e.g., Jupyter, Pandas, NumPy) Ability to design, train, and evaluate supervised and unsupervised learning algorithms Strong teamwork and interpersonal skills, with a collaborative and agile mindset Proven ability to work within agile development environments Self-motivated, detail-oriented, and capable

impactful solutions that build tomorrows worldtoday. Job Description Join our team to help deliver fast-paced, high-impact Defence software solutions that translate complex algorithms into operational capabilities. Youll work closely with algorithm engineers to integrate mathematical and software models into production-ready, reliable, and maintainable systems. This

frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and data science tools (e.g., Jupyter, Pandas, NumPy) Ability to design, train, and evaluate supervised and unsupervised learning algorithms Experience working with large datasets, including data preprocessing Excellent communication skills, both written and verbal English, with the ability to communicate complex ideas clearly Strong

have experience across the full software development lifecycle You have a thorough understanding of Computer Science fundamentals such as OOP, Data Structures, Design Patterns, Algorithms You're excited to join a start-up in a role that you can shape and influence What

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

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

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

proteomics Responsibilities include: Design, development, test, document and maintenance of software for the proteomes production pipeline Assist with the data analysis and data processing algorithms in the proteomes pipeline Support and maintain the resource production and service release Engage and coordinate work with different teams in the organization Assist with

Proven experience with Agentic AI tools, GitHub Copilot, MCPs . Advanced Python skills – NLTK, NumPy, Pandas, Scikit-learn. Good understanding of AI/ML algorithms (Regression, Classification, Decision Trees, KNN, K-Means). Experience developing AI-enhanced test automation solutions. Solid grasp of SQL . Strong understanding of SDLC

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

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

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

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

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

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

selection of a wide array of sensors (e.g., sonar, cameras, Doppler velocity logs, IMUs) and actuators into robust, modular control frameworks. Implementation of autonomy algorithms, including SLAM, path planning, adaptive control, and real-time obstacle avoidance, with focus on GNSS denied localisation. Development of real-time systems for data acquisition

selection of a wide array of sensors (e.g., sonar, cameras, Doppler velocity logs, IMUs) and actuators into robust, modular control frameworks. Implementation of autonomy algorithms, including SLAM, path planning, adaptive control, and real-time obstacle avoidance, with focus on GNSS denied localisation. Development of real-time systems for data acquisition

. 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

. 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

leading cloud computing platforms (i.e., GCP, AWS, Azure) Understanding of SQL and NoSQL databases Proficiency in object-oriented programming , data structures , algorithms and web application development .

Agile and Scrum environments Excellent written and spoken English Prior experience in the iGaming industry is essential Nice to Have Experience building or optimising algorithms Knowledge of Spring or Spring Boot SQL or relational database experience Familiarity with Git, Maven or similar tooling Understanding of CI pipelines Exposure to Docker

maritime incident reconstruction investigation. What you will be working on Developing our Real-Time, Manoeuvring, Berthing and Training software REMBRANDT. Crafting advanced seakeeping algorithms and developing immersive 3D synthetic environments with OpenGL. Building scalable software that runs standalone or integrates with complex muli-system bridges. Technical oversight of our state