1 to 25 of 31 Contract Algorithms Jobs in the UK excluding London

and Qualifications Pursuing or completed PhD in ML/AI, Computer Science/Engineering, or related disciplines. Proficiency in mathematics (calculus, probability, statistics, linear algebra, optimization) and computer science (algorithms, data structures, parallel/distributed computing). Strong fundamentals in Machine Learning, Computer Vision, and Deep Learning. Hands-on experience in areas such as Generative AI, Foundation Models, Parameter-Efficient More ❯

continuous integration practises. Previous experience in UI design, optimisation, and development processes. A solid degree in Computer Science, Physics, Engineering, Mathematics, or a relevant analytical field. Deep understanding of algorithms, data structures, and design patterns. Excellent communication skills and a strong team player mentality. Knowledge of derivatives and options products, ideally within FX. Experience in developing UI applications for finance More ❯

with clean code. Capable of working both in a team and independently. Excellent communication skills. Desirable A science or engineering degree in Computer Science or Electronics. Experience with writing algorithms and performance optimization. Experience with CI/CD pipelines and DevOps practices. Experience with cloud platforms (e.g., AWS, Azure). Experience with Linux shell scripting. More ❯

engineers and contribute to setting technical standards for the team. Required Qualifications Proven experience as a Senior Data Engineer, MLOps Engineer, or similar role. Strong background in data structures, algorithms, and software engineering principles. Advanced proficiency in Python for data wrangling, pipeline automation, and ML workflows. Expertise in AWS services, including databases (RDS, DynamoDB, Redshift) and machine learning/AI More ❯

What we're looking for: Strong programming skills in an OOP language (Java, Python, etc.). Solid hands-on experience with React, JavaScript, HTML, and CSS. Good understanding of algorithms, data structures, and design patterns. Experience with agile methodologies (Scrum, Kanban, XP) and CI/CD practices. Background in UI design, optimisation, scalability, and reliability. Degree in Computer Science, Engineering More ❯

Excellent problem solving and analytical skills in a high-pressure environment. Must possess a solid degree in Computer Science, Physics, Engineering, Mathematics or relevant analytical degree. Strong understanding of algorithms, data structures and design patterns including why and where to use them. Candidate must be a strong team player with excellent communication skills. Solid knowledge of contemporary development processes, build More ❯

/data libraries (e.g., NumPy, pandas, scikit-learn, TensorFlow or PyTorch). Hands-on experience with Amazon SageMaker , including training, tuning, and deploying models. Solid understanding of machine learning algorithms and statistical methods. Experience with cloud platforms (AWS preferred). Familiarity with CI/CD practices and version control (Git). Excellent problem-solving and communication skills. Nice to Have More ❯

. Knowledge of infrastructure as code using Terraform or CloudFormation. Familiarity with data visualisation tools and techniques to support model explainability and stakeholder reporting. Advanced understanding of machine learning algorithms and optimisation techniques . Previous experience in the banking sector (mandatory). More ❯

. Knowledge of infrastructure as code using Terraform or CloudFormation. Familiarity with data visualisation tools and techniques to support model explainability and stakeholder reporting. Advanced understanding of machine learning algorithms and optimisation techniques . Previous experience in the banking sector (mandatory). More ❯

4+ years in a Data Scientist or AI/ML Engineer role. Proficiency in Python , including libraries like pandas , scikit-learn , TensorFlow , and PyTorch . Deep understanding of ML algorithms : regression, classification, clustering, and deep learning. Hands-on experience with Large Language Models (LLMs) and techniques such as Retrieval-Augmented Generation (RAG) , agent orchestration , prompt engineering , and tool calling . More ❯

Wed love to hear from you if you have: Strong experience as a Security Architect , with a focus on AI/ML security . Deep understanding of AI technologies, algorithms, and frameworks . Proficiency in programming languages (Python, R, C/C++, Java) and secure coding practices. Hands-on experience with ML/LLM frameworks (TensorFlow, PyTorch, scikit-learn, etc. More ❯

using FastAPI framework and how different it is from Flask? Data engineering What are best practices in pre-processing textual content during ingestion phase? Any experience of using NLP algorithms for pre-processing raw text content? Docker/Kubernetes What are few proven docker images inspection methods? Any experience of popular known deployment methods on k8s cluster? Gitops/Git More ❯

to communicate technical insights to non-technical stakeholders Collaborative mindset and ability to work effectively in a team environment Preferred (Bonus) Skills: Familiarity with machine learning and self-learning algorithms Experience working with geological and mining datasets Understanding of software development tools and workflows Exposure to 3D data modelling or geological simulation tools More ❯

o YOLO object detection frameworks Core Python Skills : * Proficiency in Python 3.9+ with understanding of object-oriented programming, decorators, context managers, and async/await patterns * Data structures and algorithms for efficient data processing and model optimisation * Error handling and debugging using try-catch blocks, logging, and debugging tools Data Processing: * Pandas and NumPy for data manipulation, cleaning, and numerical More ❯

o YOLO object detection frameworks Core Python Skills : * Proficiency in Python 3.9+ with understanding of object-oriented programming, decorators, context managers, and async/await patterns * Data structures and algorithms for efficient data processing and model optimisation * Error handling and debugging using try-catch blocks, logging, and debugging tools Data Processing: * Pandas and NumPy for data manipulation, cleaning, and numerical More ❯

science into software tools. Analyze geological and mining data to extract patterns and generate insights. Combine drilling data with traditional rock properties to enhance subsurface understanding. Apply machine learning algorithms to geological datasets. Support data-driven decision-making in geological and mining operations. Leverage spatial data analysis to improve geological interpretations. What We're Looking For: Proven experience in data More ❯

Responsibilities Design, build and maintain scalable data architectures and pipelines. Implement and manage data warehouses and data lakes, ensuring data security, durability and accessibility. Develop data processing and analysis algorithms to handle complex, large-scale datasets. Collaborate with data scientists to support machine learning model deployment. Lead and mentor a team of data engineers, setting coding standards and driving best More ❯

drive its maturity and efficiencies for the future. Key Responsibilities: Advise application teams on Creation of data dictionaries Identifying sensitive data Define suitable anonymisation approaches Assign column level masking algorithms Operate the data masking service Support the data masking service Working with software vendor support and consultation services Some out-of-hours work supporting the masking service is required Experienced More ❯

Principal Firmware Engineer Luton Paying up to £80p/h (Umbrella) Responsibilities : Artificial Intelligence, including machine learning and genetic algorithms Auto-generated code using model driven engineering using MATLAB and Simulink tools Design tools such as Xilinx, TCL, Verilog, System Verilog and UVM Derivation of detailed Firmware requirements and architecture from system requirements A structured approach to firmware design (RTCA More ❯

and testing, with strong analytical and problem-solving skills. Essential experience includes: Proven experience solving optimisation problems using a range of techniques. Ability to develop custom data models and algorithms for large datasets. Strong understanding of mathematical programming solvers (LP, QP, MIP, MILP, MIQP, MIQCP). Knowledge of data collection, preprocessing, and analysis. Proficiency in statistical computer languages (Python, etc. More ❯

track record of design and implementation of technological solutions Degree in a relevant discipline (e.g., Electronics, Computer Engineering, or similar) Strong knowledge or experience in Digital Signal Processing (DSP) algorithms (highly advantageous) Desirable Skills DSP/system modelling in MATLAB/Simulink Electronics development Embedded software development (C/C++, Linux) Experience with RADAR or communications applications Knowledge of Software More ❯

Good interpersonal skills and the ability to communicate ideas to varied audiences. · It would be nice if you had knowledge/experience of: o Research to investigate novel networking algorithms o Commonly used network simulation tools o Software engineering techniques o Wireless communications You will be investigating different approaches for the design of airborne mesh networks. Specifying networking simulations using More ❯

of the host policy administration systems and/or competent in Polaris ProductWriter, working knowledge of development methodologies, experience in analysing insurance products, understanding underwriting rules and complex pricing algorithms to a level where underlying requirements can be developed or configured to deliver the required solution. PEF: Achieve Excellence level 3, Influencing Level 2, Collaborating for Success Level 2, Understanding More ❯

and further develop your skills to enable you to grow within the company and industry. You will be involved in: Leading the technical development of the performance model and algorithms Own the delivery of coherent and complete performance models Provide day-to-day line management for team leads within the wider modelling and performance team Oversight of modelling processes in More ❯

in preparing pupils for the future. Pupils are encouraged to become responsible, competent, confident and creative users of ICT. Lessons build progressively across the year groups, covering logical reasoning, algorithms, data representation, coding, e-safety, and the creative use of unfamiliar technologies. The aim is for every child to leave school not only digitally literate but also able to apply More ❯