118 Algorithm jobs in the United Kingdom

Join a leading defence organisation developing cutting-edge algorithms for advanced Radio Frequency (RF) seeker systems. We're looking for an Algorithms Engineer with strong experience in MATLAB , data analysis , and RF systems to help shape the next generation of sensor technology.

You’ll be working across high-impact projects like Meteor and FC/ASW , contributing to the development of Active Electronically Scanned Arrays (AESA) and multi-mode seekers. This role involves end-to-end algorithm design, modelling, and performance analysis – with real scope for innovation using machine learning and AI methods.

Key Requirements:

• Proven experience in algorithm development
li>Strong proficiency in MATLAB (Simulink is a bonus)
• Understanding of RF systems and digital signal processing
• Analytical mindset with data-led decision-making
• Eligible for UK Security Clearance (British Citizen or Dual National)

This is a hybrid role , typically requiring 4 days on-site per week , with a salary of £45,000 - £57,000 plus bonus, flexi-leave, and excellent pension and benefits.

Please note that due to the nature of the client’s business, only candidates who currently hold full British Citizenship (without limitations) / Dual Nationality (inclusive of British Citizenship) will be considered.

If you’re ready to apply your skills to real-world defence technology and work on some of the most advanced systems in the industry, we’d like to hear from you

Who are we?  

We hire those that seek to innovate across people, process and technology. Join our global workforce, visualise the future and strive for success. Our engineering campus and corporate offices in the UK and US are optimal environments for ideas and innovation to flourish. 

ALL.SPACE, has developed a smart terminal, capable of linking with all satellites, all networks, in all orbits, all at once. Our ground-breaking software-defined service enablement platform integrates intelligent routing, edge computing and on-demand services to deliver unprecedented network resilience and application performance. Our terminal designs operate as fully electronic beam steering systems. Our IP has applications across a wide range of market sectors including aeronautical, land mobile, maritime, and 5G. It provides broadband, multi-beam, two-way communications with dynamic tracking of geostationary and non-geostationary satellites or terrestrial nodes. 

We are looking for world class talent to join our high-performing team working on cutting edge technology in the satellite communications industry. We stand by our company values; INTEGRITY, INNOVATION & EXECUTION EXCELLENCE – giving you the opportunity to build your career in an environment where we encourage crisp decision-making, challenging the status-quo, championing your beliefs and ideas, sharing successes (and learning from failures) and working collaboratively with your fellow team members. 

ALL.SPACE is committed to practicing and promoting diversity, inclusion and equality in the workplace. We aim to lead by example by making satellite communications a more inviting and accessible industry for all.

We are seeking a highly skilled Senior Systems Modelling & Algorithm Engineer to drive the design, modelling, and development of advanced terminal algorithms and system-level behaviours. This role blends deep technical insight with system-level thinking, simulation expertise, and cross-functional collaboration. 

Key Responsibilities 

System Modelling & Simulation 

• Develop, refine, and run simulations to model key terminal algorithms and system behaviours. 

• Perform analysis to predict and optimise terminal operation under various conditions. 

• Translate system requirements into simulation parameters and scenarios. 

• Identify opportunities to optimise system performance through algorithmic improvements. 

Algorithm Design & Development 

• Design and validate algorithms for tracking, beamforming, and other key terminal functions. 

• Collaborate with cross-functional teams to implement and integrate algorithms into firmware/software. 

• Advise integration and test teams on algorithm-specific verification criteria and test cases. 

System Architecture & Requirements 

• Understand the overall system architecture and influence its evolution. 

• Create and maintain System Specifications and CONOPS for new features. 

• Analyse existing documentation and identify areas for improvement. 

• Map new features to system-level requirements and regulatory standards. 

Cross-Functional Support 

• Support design and implementation teams throughout the engineering lifecycle. 

• Contribute to internal training, service delivery support, and knowledge transfer. 

• Participate in system validation and test planning, ensuring traceability from requirements to test cases. 

Requirements

• Degree (BSc/MSc/PhD) in Engineering, Physics, or a closely related field. 

• Proven expertise in system modelling and simulation using scripting languages (e.g., Python, MATLAB). 

• Strong background in algorithm development for applications such as tracking, beamforming, alt-PNT or radar. 

• Good knowledge of satellite communications systems, modems, and digital/RF signal processing. 

• Familiarity with software and FPGA implementation flows. 

• Strong communication skills and the ability to work across disciplines. 

• Self-starter with a can-do attitude and high attention to detail. 

Desirable Skills 

• Experience with model-based systems engineering (MBSE) tools and practices. 

• Familiarity with version control and CI/CD for algorithm or model delivery. 

• Background in regulatory compliance or certification processes. 

• Experience with digital twins or hardware-in-the-loop test environments. 

• Support debugging and validation of algorithmic implementations on software and FPGA platforms. 

• Collaborate during the implementation phase to align algorithmic requirements with hardware and firmware constraints. 

• Translate modelling and simulation outputs into implementable specifications for firmware and software. 

• Work closely with software and FPGA teams to ensure seamless integration of developed algorithms. 

Benefits

·    Stock Options 

·    Contributory Pension Scheme 3% standard

·    25 days Annual Leave + Public Holidays 

·    Cycle-to-Work Scheme 

·    Car Scheme (Salary Sacrifice) 

·    Free On-Site Gym 

·    Employee Assistance Programs

·    Discounts Platform 

• Location: Remote (will need to come into London once a month)
• Job Type: Full-time, Permanent
• Must have the Right to Work in the UK (Cannot provide sponsorship)

Join a leading UK consulting and administration business specialising in the pensions and insurance sectors. As an ML Ops Engineer in our Pensions Advisory - Data Analytics department, you will be at the forefront of developing and deploying machine learning models that enhance our consulting capabilities and client offerings.

• Model Development: Collaborate with actuarial analysts to develop machine learning and statistical models for predicting outcomes related to pension schemes. Utilize appropriate algorithms to enhance predictions and automate decision-making processes.
• Machine Learning Operations: Design, deploy, maintain, and refine statistical and machine learning models using Azure ML. Optimize model performance and ensure smooth application operations with large-scale data handling.
• Data Management and Preprocessing: Manage the collection, cleaning, and preprocessing of large datasets. Implement data pipelines and ETL processes to ensure data quality and availability.
• Software Development: Write clean, efficient, and scalable code in Python. Implement CI/CD practices for version control, testing, and code review.
• Collaboration and Training: Work closely with various teams within the organisation to integrate data science findings into practical strategies. Provide training and support to team members on machine learning tools and analytical techniques.
• Research and Development: Stay updated with the latest trends and technologies in data science and pensions to identify opportunities for innovation.

• Essential:
  • Proven experience in designing, building, optimizing, deploying, and managing business-critical machine learning models using Azure ML in production environments.
  • Strong skills in data wrangling using Python, SQL, and ADF .
  • Proficiency in CI/CD, DevOps/MLOps , and version control systems.
  • Familiarity with data visualization and reporting tools, ideally PowerBI.
  • Excellent communication and interpersonal skills, with the ability to convey technical concepts to non-technical stakeholders.
• Desirable:
  • Experience in the pensions or similar regulated financial services industry.
  • Experience working within a multidisciplinary team.

• Competitive salary and participation in an annual discretionary bonus scheme.
• 25 days holiday plus options to buy or sell additional holiday.
• Flexible bank holidays and a comprehensive pension scheme with matching contributions.
• Healthcare cash plan and a flexible benefits scheme supporting various aspects of your life.
• Life assurance cover, extensive high street discounts, and access to digital GP services.
• Paid volunteering day and employee assistance programmes for you and your household.

Spearheading the integration of machine learning into cutting-edge electronics

This innovative team of engineers and scientists are using machine learning tightly integrated with modern electronics to create new classes of products and radically alter the shape, performance and effectiveness of existing ones. As industry goes through a machine learning revolution you can be here, leading the charge.

You will work across the whole machine learning development lifecycle from initial concepts through data collection, cleaning and preparation to prototyping, testing and evaluation. With your models integrated with leading edge electronics, the final products are fully functional prototypes and demonstrator units manufactured at small scale. What’s special about this group is they do this dozens of times per year working across multiple domains. You can be working on computer vision for one project and generative models for the next. 

Requirements:

• Strong knowledge of Python and its use in machine learning including hands-on experience building products with modern ML frameworks such as TensorFlow and PyTorch
li>Broad knowledge of machine learning techniques across multiple domains and the ability to transition into new domains quickly
• A top degree in a STEM subject
• UK national

While not required, experience deploying machine learning onto a range of hardware from resource constrained embedded systems through to edge computing is desirable. As is any knowledge of GPU programming languages and frameworks (CUDA, ROCm, etc).

Your future colleagues will be similarly highly skilled, with experience across industry and the drive to innovate. You will find yourself in a low-management work environment that encourages teamwork and respect for individuals’ expertise. Benefits include private medical insurance, generous pension scheme and access to local social and sports clubs. Please note, you are required to be onsite full-time for this position.

Another top job from ECM, the high-tech recruitment experts.    

Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call (phone number removed) or email your CV. We will always ask before forwarding your CV.

Please apply (quoting ref: CV27413 ) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.

Spearheading the integration of machine learning into cutting-edge electronics

This innovative team of engineers and scientists are using machine learning tightly integrated with modern electronics to create new classes of products and radically alter the shape, performance and effectiveness of existing ones. As industry goes through a machine learning revolution you can be here, leading the charge.

You will work across the whole machine learning development lifecycle from initial concepts through data collection, cleaning and preparation to prototyping, testing and evaluation. With your models integrated with leading edge electronics, the final products are fully functional prototypes and demonstrator units manufactured at small scale. What’s special about this group is they do this dozens of times per year working across multiple domains. You can be working on computer vision for one project and generative models for the next. 

Requirements:

• Strong knowledge of Python and its use in machine learning including hands-on experience building products with modern ML frameworks such as TensorFlow and PyTorch
li>Broad knowledge of machine learning techniques across multiple domains and the ability to transition into new domains quickly
• A top degree in a STEM subject
• UK national

While not required, experience deploying machine learning onto a range of hardware from resource constrained embedded systems through to edge computing is desirable. As is any knowledge of GPU programming languages and frameworks (CUDA, ROCm, etc).

Your future colleagues will be similarly highly skilled, with experience across industry and the drive to innovate. You will find yourself in a low-management work environment that encourages teamwork and respect for individuals’ expertise. Benefits include private medical insurance, generous pension scheme and access to local social and sports clubs. Please note, you are required to be onsite full-time for this position.

Another top job from ECM, the high-tech recruitment experts.    

Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call (phone number removed) or email your CV. We will always ask before forwarding your CV.

Please apply (quoting ref: CV27413 ) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.

• Location: Remote (will need to come into London once a month)
• Job Type: Full-time, Permanent
• Must have the Right to Work in the UK (Cannot provide sponsorship)

Join a leading UK consulting and administration business specialising in the pensions and insurance sectors. As an ML Ops Engineer in our Pensions Advisory - Data Analytics department, you will be at the forefront of developing and deploying machine learning models that enhance our consulting capabilities and client offerings.

• Model Development: Collaborate with actuarial analysts to develop machine learning and statistical models for predicting outcomes related to pension schemes. Utilize appropriate algorithms to enhance predictions and automate decision-making processes.
• Machine Learning Operations: Design, deploy, maintain, and refine statistical and machine learning models using Azure ML. Optimize model performance and ensure smooth application operations with large-scale data handling.
• Data Management and Preprocessing: Manage the collection, cleaning, and preprocessing of large datasets. Implement data pipelines and ETL processes to ensure data quality and availability.
• Software Development: Write clean, efficient, and scalable code in Python. Implement CI/CD practices for version control, testing, and code review.
• Collaboration and Training: Work closely with various teams within the organisation to integrate data science findings into practical strategies. Provide training and support to team members on machine learning tools and analytical techniques.
• Research and Development: Stay updated with the latest trends and technologies in data science and pensions to identify opportunities for innovation.

• Essential:
  • Proven experience in designing, building, optimizing, deploying, and managing business-critical machine learning models using Azure ML in production environments.
  • Strong skills in data wrangling using Python, SQL, and ADF .
  • Proficiency in CI/CD, DevOps/MLOps , and version control systems.
  • Familiarity with data visualization and reporting tools, ideally PowerBI.
  • Excellent communication and interpersonal skills, with the ability to convey technical concepts to non-technical stakeholders.
• Desirable:
  • Experience in the pensions or similar regulated financial services industry.
  • Experience working within a multidisciplinary team.

• Competitive salary and participation in an annual discretionary bonus scheme.
• 25 days holiday plus options to buy or sell additional holiday.
• Flexible bank holidays and a comprehensive pension scheme with matching contributions.
• Healthcare cash plan and a flexible benefits scheme supporting various aspects of your life.
• Life assurance cover, extensive high street discounts, and access to digital GP services.
• Paid volunteering day and employee assistance programmes for you and your household.

UK BASED APPLICANTS ONLY/ PLEASE DO NOT APPLY IF YOU NEED VISA OR SPONSORSHIP

Talent Hero is a speed and quality driven recruiting agency, dedicated to placing the best UK remote professionals in remote positions with U.S.A businesses.

Candidates who apply through Talent Hero, once vetted, are placed with US companies actively building intelligent, AI-powered products. Well match you with the right .

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At Permutable AI, were building intelligent systems to automate market analysis using advanced NLP and multi-LLM frameworks. Our goal is to dramatically accelerate how financial information is processed, understood, and acted on, enabling faster, smarter decisions for financial analysts. As a small, ambitious start-up, youll work directly with our founder and a core team of talented.

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