What Jobs are available for Algorithms in the United Kingdom?

Expleo is forming a collaborative Algorithms & Infrastructure Engineering team within Cheadle. This new team will develop, containerise, and deploy cutting-edge algorithms within secure, virtualised computing environments, supporting next-generation underwater mission systems. The roles will work closely with network and infrastructure specialists to deliver an integrated capability.

• Design, develop, and deploy containerised workloads for advanced sonar and signal-processing systems.
• Build and optimise Docker/Podman images and orchestrate deployments via Kubernetes.
• Develop automation and integration through CI/CD pipelines (GitLab CI, Jenkins).
• Support algorithm engineers with Python/C++ implementation and container integration.
• Manage virtualised computing environments (KVM, QEMU, hypervisors) to optimise performance and isolation.
• Implement monitoring, logging, and performance tuning for containerised workloads in secure environments.

• Strong Linux background with hands-on experience in containerisation (Docker, Podman) and orchestration (Kubernetes).
• Familiarity with virtualised computing and isolated execution environments.
• Scripting or development experience in Python and/or C++.
• Understanding of CI/CD pipelines and build automation tools.

• Exposure to naval/sonar mission systems or deployment on constrained platforms.
• Experience with DevSecOps practices and secure software delivery pipelines.
• Familiarity with AI/ML or digital signal processing in containerised environments.

• SC Clearance

• Collaborative working environment - we stand shoulder to shoulder with our clients and our peers through good times and challenges
• We empower all passionate technology loving professionals by allowing them to expand their skills and take part in inspiring projects
• Expleo Academy - enables you to acquire and develop the right skills by delivering a suite of accredited training courses
• Competitive company benefits
• Always working as one team, our people are not afraid to think big and challenge the status quo

• As a Disability Confident Committed Employer we have committed to:
• Ensure our recruitment process is inclusive and accessible
• Communicating and promoting vacancies
• Offering an interview to disabled people who meet the minimum criteria for the job
• Anticipating and providing reasonable adjustments as required
• Supporting any existing employee who acquires a disability or long term health condition, enabling them to stay in work at least one activity that will make a difference for disabled people

"We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age".

We treat everyone fairly and equitably across the organisation, including providing any additional support and adjustments needed for everyone to thrive

Overview

Expleo is forming a collaborative Algorithms & Infrastructure Engineering team within Cheadle. This new team will develop, containerise, and deploy cutting-edge algorithms within secure, virtualised computing environments, supporting next-generation underwater mission systems. The roles will work closely with network and infrastructure specialists to deliver an integrated capability.

ZIPC1_UKTJ

I have partnered with a pioneering quantum computing company developing fully integrated quantum processors that bring quantum performance closer to classical form factors.

They’re looking for a Quantum Application Scientist (PhD level) to join a focused team working on optimization problems and Hamiltonian simulation - translating complex theoretical models into real-world quantum applications.

This is a full-time role where you’ll collaborate closely with hardware and software experts to develop algorithms and explore the boundaries of quantum performance on next-generation integrated quantum platforms.

You would be working alongside the Head of Algorithms to contribute to the practical realization of scalable, application-driven quantum systems in a fast-growing European quantum company.

If this sounds well aligned with your background - click the apply button today!

• Conduct cutting-edge research in the design and analysis of quantum algorithms.
• Develop theoretical frameworks and computational models for quantum computing applications.
• Collaborate with other researchers on joint projects, sharing insights and expertise.
• Implement and test quantum algorithms using available quantum simulators and/or hardware.
• Publish research findings in leading peer-reviewed journals and present at international conferences.
• Contribute to the development of proposals for research grants and funding opportunities.
• Stay current with the latest advancements in quantum computing, quantum information theory, and related fields.
• Mentor graduate students and contribute to the vibrant research community.
• Engage in rigorous peer review of scientific manuscripts and research proposals.

• PhD in Quantum Information Science, Computer Science, Physics, Mathematics, or a related discipline with a strong focus on quantum computing.
• Demonstrated experience in the development and analysis of quantum algorithms.
• Proficiency in at least one relevant programming language (e.g., Python with Qiskit, Cirq, PennyLane).
• Strong theoretical background in quantum mechanics, linear algebra, and algorithms.
• Excellent analytical and problem-solving skills.
• Proven ability to conduct independent research and contribute effectively to collaborative projects.
• Strong written and oral communication skills, with a track record of publications.
• Experience with high-performance computing environments is advantageous.
• Must be comfortable working independently in a fully remote environment.

• Conduct advanced research in machine learning algorithms, including deep learning, reinforcement learning, and unsupervised learning.
• Develop and prototype new AI models and algorithms.
• Publish research findings in top-tier academic conferences and journals.
• Collaborate with cross-functional teams to translate research concepts into practical applications.
• Design and execute experiments to validate theoretical models and hypotheses.
• Analyze large datasets to identify patterns and insights that inform research direction.
• Stay current with the latest advancements in AI and ML research globally.
• Mentor junior researchers and contribute to the growth of the AI research community.
• Develop and maintain high-quality, well-documented code for research purposes.
• Contribute to the intellectual property strategy of the organization.

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a closely related quantitative field.
• Extensive research experience with a strong publication record in leading AI/ML venues.
• Deep theoretical and practical understanding of various machine learning algorithms and statistical modeling techniques.
• Proficiency in programming languages commonly used in research, such as Python, and familiarity with ML libraries (e.g., TensorFlow, PyTorch).
• Proven ability to design and conduct rigorous scientific experiments.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong written and verbal communication skills, with the ability to articulate complex technical concepts clearly.
• Experience in leading research projects and mentoring other researchers is highly desirable.
• Ability to work independently and manage ambitious research timelines in a remote setting.
• A passion for scientific inquiry and pushing the boundaries of AI knowledge.

• Conduct state-of-the-art research in artificial intelligence and machine learning.
• Develop and implement novel ML algorithms and models.
• Design and execute rigorous experiments to validate research hypotheses.
• Analyze and interpret complex datasets to extract meaningful insights.
• Publish research findings in leading academic conferences and journals.
• Collaborate with engineering teams to transition research prototypes into production.
• Stay abreast of the latest advancements and trends in AI and ML research.
• Mentor junior researchers and contribute to team knowledge sharing.
• Contribute to grant proposals and research funding applications.
• Ensure ethical considerations and responsible AI practices are integrated into research.

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• 5+ years of post-doctoral or industry research experience in AI/ML.
• Demonstrated track record of impactful research, evidenced by publications in top-tier venues.
• Deep theoretical understanding of machine learning, deep learning, statistics, and algorithms.
• Expert proficiency in programming languages such as Python and libraries like TensorFlow, PyTorch, Keras, and scikit-learn.
• Experience with large-scale data processing and distributed computing environments.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills.
• Ability to work independently and drive research projects forward in a remote setting.

• Design, develop, and analyze novel quantum computing algorithms.
• Conduct theoretical research in quantum information science and complexity theory.
• Simulate algorithm performance on quantum computing platforms.
• Collaborate with leading researchers in quantum physics and computer science.
• Author high-impact scientific publications and present research findings.
• Explore applications of quantum algorithms in optimization, simulation, and ML.
• Contribute to the strategic direction of quantum research.
• Mentor junior researchers and contribute to the quantum computing community.

• PhD in Quantum Information Science, Computer Science, Physics, Mathematics, or related field.
• Demonstrated expertise in quantum algorithm development.
• Strong theoretical background in quantum mechanics and information theory.
• Proficiency with quantum programming frameworks (e.g., Qiskit, Cirq).
• Excellent analytical, mathematical, and problem-solving skills.
• Proven track record of publications in reputable journals.
• Strong communication and presentation abilities.
• Ability to work independently and manage research projects remotely.

• Lead the design, development, and implementation of state-of-the-art AI and Machine Learning models.
• Research and evaluate new AI/ML technologies, algorithms, and frameworks.
• Develop scalable and robust machine learning pipelines for training, validation, and deployment.
• Collaborate with data scientists, software engineers, and product managers to define project requirements and deliver solutions.
• Mentor and guide junior AI/ML engineers, fostering technical growth and best practices.
• Optimize model performance, efficiency, and scalability.
• Contribute to the company's intellectual property through publications and patent applications.
• Stay current with the latest advancements in AI, deep learning, and related fields.
• Present technical findings and project progress to stakeholders.
• Ensure the ethical and responsible development and deployment of AI systems.

• M.S. or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Extensive experience in developing and deploying machine learning models in production.
• Proficiency in programming languages such as Python, and libraries like TensorFlow, PyTorch, scikit-learn.
• Deep understanding of various ML algorithms (e.g., deep learning, NLP, computer vision, reinforcement learning).
• Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.
• Strong leadership and team management skills.
• Excellent problem-solving and analytical abilities.
• Proven ability to work effectively in a remote, collaborative environment.
• Strong communication skills, with the ability to explain complex technical concepts to diverse audiences.