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Backend Software Engineer (Python/Django) About the role: We are working with an early-stage, AI-driven technology company building advanced platforms that leverage machine learning, NLP and large language models to solve complex research and data problems. The team is focused on developing scalable, intelligent systems, increasingly incorporating LLM-powered and agentic workflows to automate sophisticated tasks. As one of the early engineering hires, you will play a key role in building and scaling the core platform, working closely with the CTO and senior engineers to design, develop and deploy new features. This is a hands-on role with real ownership and impact on product direction. Requirements • 2+ years of commercial software engineering experience, • Strong Python web development experience (essential), • Solid experience with Django (or similar Python web frameworks, Django preferred), • Experience building and maintaining production web applications (not just data science scripts), • Experience with Docker and containerised applications, • Experience working with relational databases (e.g. PostgreSQL), • Good understanding of API design and backend architecture, • Proficiency with Git, • Willingness to work 2 days per week onsite in London Nice to have • Exposure to NLP or search systems (e.g. semantic search), • Experience working with LLMs or generative AI, • Frontend experience (e.g. React), • Experience with Elasticsearch or OpenSearch, • Experience with AWS or similar cloud platforms Benefits • Flexible working, • Pension contributions, • Training & development, • Stock option plan, • Work from home budget

AI Engineer (ML, Engineer, LLM's, MCP) Location: Fully Remote, UK Salary - Highly competitive plus 15% annual bonus based on personal performance Reporting to: Chief Executive Officer Neulinx have partnered with an established global SaaS company to appoint an AI Engineer for a business-critical role reporting directly to the CEO. This is a high-impact opportunity for an experienced AI Engineer to lead the practical adoption of AI across a 50 person engineering team and the organisation, supporting both internal capability and external product development. Role Overview The successful AI Engineer will play a central role in helping the business evolve towards a more AI-driven future. This position requires a strong blend of machine learning knowledge, software engineering capability, and the ability to apply AI in practical, commercial environments. This is not a managerial position. It is a hands-on role for an AI Engineer who can lead through technical delivery, influence engineering teams through credibility, and help embed AI capability across the wider business. The role will focus on integrating AI into an existing SaaS platform, modernising legacy systems, and identifying opportunities to improve products, workflows, and operational efficiency through the use of AI. Key Responsibilities • Act as the lead AI Engineer within the business, driving the adoption of AI across engineering, internal operations, and customer-facing applications, • Design, build, and deploy AI-powered solutions within an established SaaS environment, • Work with LLMs in real-world product and operational use cases, • Apply prompt engineering techniques to improve workflows, outputs, and user experience, • Build and implement MCP services and advanced AI workflows, • Support the transition of legacy systems towards a more AI-driven architecture, • Partner closely with software engineers to help develop AI capability across the team, • Identify and deliver practical AI and ML use cases that create measurable business value, • Work directly with the CEO and senior leadership team on the company’s AI direction and implementation priorities Candidate Profile The ideal candidate will be an experienced AI Engineer with a strong grounding in machine learning and a proven ability to write high-quality production code. Applicants should be able to demonstrate: • Proven experience in an AI Engineer, ML Engineer, or similar hands-on role, • Strong software engineering skills and the ability to build production-grade systems, • Strong experience with LLMs, prompt engineering, and MCP, • Experience implementing AI solutions within existing or legacy platforms, • The ability to operate effectively in a hands-on, high-visibility role, • Confidence working directly with senior leadership as well as technical teams, • A practical, delivery-focused mindset with a strong bias towards execution, • The ability to influence others and encourage wider AI adoption through hands-on support and technical leadership Additional Context This role is particularly well suited to an AI Engineer who is energised by seeing their work have tangible impact at scale, rather than solely within internal teams. It will also suit someone who is comfortable working within complexity and legacy environments. Existing technologies include MS SQL, C#, JavaScript, and an ongoing React migration, so resilience and a genuine interest in modernising established systems will be important. If you are an AI Engineer who wants to build, influence, and help transform a global SaaS platform through AI, we’d love to hear from you.

Sports Senior Software Platform Engineer (Multiple roles, various seniority) | Sports Data We're also looking for PhD Sport Researchers, Quantitative Sports Modellers & Sports ML Experts We’re helping several sports data leaders, specialised in turning complex sporting datasets into actionable insights that drive smarter, evidence-based decision-making. Each team combines technical expertise with a genuine passion for sport, ensuring that the insights they deliver are both rigorous and practical. Build high performance trading and analytics platforms for the future of sports! Basketball, F1, Tennis, Horse Racing, Football (Soccer) and so much more... Essential Skills (Across the court/ track/ ground/ pitch): • Strong programming exposure with Go/ Golang or similar (such as Rust, Java, Kotlin, Python, C#, C++ etc), • Understanding of AWS to build pipelines., • Understanding of high-performance machine critical systems; ideally a sports trading platform or similar (financial trading/ banking/ air traffic platforms etc), • Strong problem-solving mindset with an analytical, systems-focused approach Bonus skills (100-point game, hat-trick, podium finish, Grand Slam): • Proven success with sports data/ the sports trading domain, • Genuine passion for sports and a curiosity-driven approach to understanding sports data Day-to-Day Duties (Throughout the venue): • Design, develop and analyse multiple high-performance sports trading and analytics platforms, whilst enabling global sports data to connect to it simultaneously, • Work with wider teams to add features, improve performance and increase reliability, • Contribute to CI/CD, security and long-term technical direction, • Innovate internal research projects exploring new metrics, analytical methods and applications of sport data Benefits (Beyond the match/ race/ game/ track): • An impact from day one, • Shape the future of sports technology, • Direct involvement with sport and the chance to apply tech to the real-world sporting calendar, • Creative freedom to experiment and innovate, • Supportive, collaborative culture that encourages learning and growth, • A vibrant team culture with a shared passion for sports, • Access to the latest tools and technologies, • Collaborative, flexible, remote first & hybrid working models, • Industry leading packages (competitive salary & bonus), plus an endless list of benefits.

Staff Software Engineer – AI/ML (Agentic AI) Engineering | UK Remote / London (hybrid) Overview My client is a fast-growing, product-led technology company investing heavily in AI and next-generation machine learning solutions. They are seeking a Staff Software Engineer with experience in agent-based AI systems to help design and deliver advanced AI-driven products. The Role This is a hands-on technical leadership role focused on building scalable AI/ML systems, with a particular emphasis on agentic AI and modern machine learning approaches. You will play a key role in shaping technical direction, establishing best practices, and delivering high-quality systems from concept through to production. The role also involves mentoring engineers and contributing to the growth of a high-performing team. Key Responsibilities Project Ownership • Lead the design and delivery of AI/ML initiatives across the full lifecycle, • Build and deploy models, data pipelines, and production systems Cross-Functional Collaboration • Work closely with Engineering, Product, and DevOps teams, • Support integration of AI capabilities into wider platforms Technical Leadership • Provide guidance on AI/ML frameworks, tools, and best practices, • Contribute to the development of agent-based AI systems and workflows Mentorship & Communication • Mentor engineers and support technical development, • Promote strong collaboration across teams Problem Solving & Optimisation • Identify and resolve challenges in AI/ML systems, • Improve performance, scalability, and reliability Governance & Quality • Ensure high standards around model performance, data quality, and compliance Documentation & Knowledge Sharing • Maintain clear documentation and contribute to internal best practices Skills & Experience • 7+ years’ experience in AI/ML engineering, including production systems, • 3+ years in a technical leadership role, • Strong programming skills (e.g. Python or similar), • Experience with machine learning, data pipelines, and scalable systems, • Knowledge of modern AI approaches, including large language models and agent-based systems, • Experience working with cloud platforms (AWS, GCP, or Azure), • Understanding of distributed systems and scalable architectures, • Experience with CI/CD, microservices, and MLOps practices, • Ability to mentor and support engineers, • Strong collaboration and communication skills, • Experience working in Agile environments, • Degree in a relevant technical field (or equivalent experience) Tech Environment (indicative) • Backend languages (e.g. Python or similar), • Cloud platforms (AWS / GCP / Azure), • Containerisation and orchestration tools, • Infrastructure as code, • Observability and ML tooling, • Modern AI/LLM frameworks, • Relational and non-relational databases, • Version control and CI/CD tooling Benefits • Competitive salary, • 25 days’ annual leave + bank holidays, • Sick pay package, • Flexible / remote working, • Enhanced parental leave, • Pension scheme, • Career development opportunities Additional Information This role is not eligible for visa sponsorship.

Contract ML Engineers – R&D OR Edge Deployment (SC/DV Cleared) UK-Based | 6–12 Months | Outside IR35 | Competitive Day Rate This is ML work at the point where research meets reality. You’ll be supporting programmes focused on autonomous and defence systems, working across either: R&D / Neural Network Development Improving model performance at architecture level Working on advanced concepts (e.g. spiking neural networks) Deep technical ML problem solving Deployment / Integration Running models on edge / constrained hardware Optimising inference (TensorRT, compression, etc.) Integrating into real-world systems Across both, you’ll need: Strong Python + deep learning experience (PyTorch / TensorFlow) Proven experience either in advanced ML development OR deployment Ability to deliver in complex, real-world environments Must hold active SC or DV clearance 6–12 months (likely extensions as projects scale) UK-based If you’re a cleared ML engineer and want to work on projects where performance and deployment actually matter - this is worth a conversation.

Staff Machine Learning Engineer – | 3 Roles | UK Remote I'm working with a fast-growing, PE-backed SaaS business that has just launched a world-leading AI product — and they're expanding their AI/ML engineering team with three Staff-level hires. All three roles sit on the same product, the same stack, and the same mission. The difference is your specialism. ────────────────────────── 𝟭. Staff SE – Agentic AI Leading the design of multi-agent systems and LLM orchestration patterns. If you've built and shipped complex agentic workflows end-to-end, this one's for you. ▸ LangGraph · Pydantic AI · Agent SDK · LLMOps 𝟮. Staff SE – Information Extraction Owning ML models and pipelines that extract structured knowledge from complex, unstructured documents at scale. ▸ NLP · Document AI · Data Pipelines · Evals 𝟯. Staff SE – MLOps / DevOps for AI Shaping the infrastructure behind model serving, training pipelines, LLMOps, and AgentOps across the full AI stack. ▸ MLFlow · Databricks · Datadog · Terraform ────────────────────────── What all three roles require: • 7+ years in AI/ML engineering, shipping models in production, • 3+ years in a Staff-level or senior technical leadership role, • Hands-on AWS (Bedrock, SageMaker) and/or GCP Vertex AI, • Strong Python; Java or Rust a bonus, • Experience with LLMs, evaluation frameworks, and agentic AI patterns, • Docker, K8s, Terraform, CI/CD, • A collaborative leadership style — mentoring engineers, shaping best practices ────────────────────────── Core stack: Python · Rust · Java · Amazon Bedrock · SageMaker · Vertex AI · LangGraph · Pydantic AI · LangFuse · MLFlow · Databricks · Datadog · Claude Code · Docker · K8s · Terraform · Vector DBs · Graph DBs ────────────────────────── UK Remote Competitive Salary and benefits Not eligible for visa sponsorship ────────────────────────── Interested? Please apply, or know someone who might be? Drop me a DM • Seniority Level, • Not Applicable, • Industry, • Software Development, • Employment Type, • Full-time, • Job Functions, • Engineering, • Skills, • Artificial Intelligence (AI), • Large Language Models (LLM), • Machine Learning, • Technical Leadership, • Multi-agent Systems, • AWS SageMaker, • Amazon Web Services (AWS), • Python (Programming Language), • LangGraph, • Amazon

AI Engineer Job Tenure: Full-time, permanentSalary: CompetitiveCompany Description Ready to join a team thats leading the way in reshaping the future of insurance? Here at esure Group, we are on a mission to revolutionise insurance for good! We’ve been providing Home and Motor Insurance since 2000, with over 2 million customers trusting us to keep them covered through our esure and Sheilas’ Wheels brands. With a bold dedication for digital innovation, were transforming the way the industry operates and putting customers at the heart of everything we do. Having completed our recent multi-year digital transformation, we’re now leveraging advanced technology and data-driven insights alongside exceptional service, to deliver personalised experiences that meet our customers ever-changing needs today and in the future. Job Description We currently have a phenomenal opportunity for an AI Engineer to join our us as we enhance our customer experience by harnessing the power of NLP, large language models, and flawless integration with third-party GenAI services. In this dynamic role, youll be involved in every stage of the AI lifecycle, from brainstorming ideas and crafting prompts to fine-tuning models and deploying them into production. Success in this role is measured through rigorous A/B testing, ensuring our solutions deliver real value. Youll have the opportunity to work on a variety of impactful projects across the entire enterprise. We are seeking an innovative individual who shares our vision to fix insurance for good. What you’ll do: Collaborate with business partners to identify use-cases where GenAI can provide measurable benefits. Support the data science and AI team in deploying scalable AI applications across the enterprise. Work with a multi-functional team (DevOps, data engineers, developers, testers, Infosec) to productionize AI services on AWS. Enhance our tech stack, including MLOps, CI/CD pipelines, UI, and AI Python libraries. Develop prompts, fine-tune models, and track results. Evaluate third-party GenAI and LLM technologies for cost-benefit analysis. Deliver projects from scoping and R&D to production deployment and benefit measurement. Follow and contribute to standards for code quality, R&D, and model development. Engineer data for optimal AI application performance. Advise peers and senior management on business and customer impact. Write production-grade Python code, leveraging CI/CD, Databricks, and ensuring appropriate test coverage; proficiency in SQL. Liaise with third-party partners and stay updated on field advancements and regulations. Collaborate with data governance and data management teams on data requirements. Qualifications What we’d love you to bring: You are a self-starter with experience in delivering research + models to production to drive tangible commercial benefits and improved customer experiences. You thrive in working autonomously and collaboratively to drive impact in a fast-paced multi-functional business. PhD or MSc experience in a numerate subject: Machine Learning, Computer Science, Statistics, or equivalent, Demonstrable experience of applying, researching, and developing sophisticated NLP models, prompt engineering + fine-tuning LLMs to drive value in a commercial setting, Able to work independently and efficiently to deliver projects on time, taking project briefs and refining them to strong results. Experienced in engaging with non-technical stakeholders to scope, design and build an appropriate ML solution. Proficient with Python data science stack, e.g., pandas, scikit-learn, Jupyter etc., and version control, e.g., Git. Exposure to LLMOps, model monitoring principles, CI/CD and associated tech, e.g., Docker, MLflow, k8s, FastAPI etc. Knowledge of Langchain, huggingface and LLM offerings by 3rd party vendors. Knowledge of OO programming and software design, i.e., SOLID principles. Knowledge and working experience of AGILE methodologies. Familiarity with Databricks, and RAG application architecture a plus Experience with latency optimisation and quantisation preferred Additional Information What’s in it for you?: Competitive salary that reflects your skills, experience and potential. Discretionary bonus scheme that recognises your hard work and contributions to esure’s success. 25 days annual leave, plus 8 flexible days and the ability to buy and sell further holiday. Our flexible benefits platform is loaded with perks to choose from, so you can build a personal toolkit to support your health, wellbeing, lifestyle, and finances. Company funded private medical insurance for qualifying colleagues. Fantastic discounts on our insurance products! 50% off for yourself and spouse/partner and 10% off for direct family members. We’ll elevate your career with hands-on training, mentoring, access to our exclusive academies, regular career conversations, and expert partner resources. Driving good in the world couldn’t be more important to us. Our colleagues can use 2 volunteering days per year to support their local communities. Join our internal networks and communities to connect, learn, and share ideas with likeminded colleagues. We’re a proud supporter of the ABI’s ‘Make Flexible Work’ campaign and welcome you to ask about the flexibility you need. Our hybrid working approach also puts you in the driving seat of how and where you do your best work. And much more; See a full overview of our benefits here Reward and benefits | Esure Group PLC We are committed to creating an inclusive and diverse workplace where everyone feels valued, respected, and empowered. We celebrate individuality and create spaces where unique backgrounds and experiences can come together. We believe that diverse perspectives drive innovation, in turn enabling us to better serve our customers, community and build a stronger organisation. Our commitment to inclusion extends to every part of our business, from hiring practices to professional growth opportunities, ensuring equal access and support for all.

Machine Learning Engineer Location: UK (hybrid/on-site as required) Rate: £550 per day (Outside IR35) Security Clearance: Must hold UK SC Clearance Contract Machine Learning Engineer – Defence AI Programmes We are supporting a specialist AI organisation delivering advanced machine learning capability into the defence sector. They require a Contract ML Engineer to support ongoing high-priority programmes. This is an outside IR35 engagement at £550 per day, suited to an experienced contractor who can operate independently within secure environments. The Role You will work on the development and optimisation of advanced ML models, contributing to applied AI solutions across defence and national security projects. Key responsibilities include: • Designing and implementing deep learning models, • Developing computer vision and pattern recognition systems, • Building and refining synthetic data pipelines, • Supporting modelling and simulation environments, • Deploying models within secure production systems Required Experience • Demonstrable experience delivering ML solutions within the defence sector, • Strong Python software engineering background, • Deep Learning experience (TensorFlow, Keras or equivalent), • Experience with DNNs and advanced ML techniques, • Computer Vision expertise, • Comfortable working in secure, regulated environments Engagement Details • £550 per day, • Outside IR35, • Long-term programme potential, • High-impact defence projects This role is ideal for a seasoned ML contractor who is comfortable navigating secure programmes and delivering robust, production-ready AI solutions.

Data / Machine Learning Ops Engineer. We are looking for a Machine Learning Ops Engineer to join our growing team. Collaborating with data scientists, eng.

Contract Machine Learning / Data Scientist (SC Cleared). Machine Learning / Data Scientist.

AI GTM Solution Engineer (GenAI / LLM / Pre-Sales) Were hiring an AI GTM Solution Engineer to help shape and deliver cutting-edge Generative AI (GenAI) and LLM-powered solutions for enterprise customers. This is a customer-facing pre-sales / solution engineering role where youll design, prototype and demonstrate AI solutions, working closely with sales, product and engineering teams. Key Responsibilities • Design and deliver AI / GenAI solutions aligned to customer use cases, • Build and showcase POCs, demos and technical presentations, • Work with LLMs, LangChain, OpenAI APIs and AI agents, • Support solution architecture, APIs, integrations and cloud deployments, • Experience in Solution Engineering, Pre-Sales, Sales Engineering or Technical Consulting, • Strong knowledge of LLMs, Generative AI, Machine Learning, • Hands-on with LangChain, OpenAI, GPT or similar tools, • Programming experience in Python, • Experience with APIs, integrations and REST services, • Cloud exposure: AWS, Azure or GCP

This is a unique opportunity to work on cutting-edge AI and machine learning projects that make a tangible difference in the UK, supporting critical national security initiatives.

This is not a research role; it is a hands-on engineering role focused on making ML systems work reliably at scale. This role sits at the intersection of data engineering and ML infrastructure: youll design and operate data pipelines that feed models, and youll build the tooling that trains, deploys

Were looking for a talented and motivated Machine Learning Engineer to join our growing team. We welcome applications from women who are passionate about machine learning and eager to grow:. Design, develop, and deploy machine learning models using modern frameworks and libraries.

Senior Data Engineer As a Senior Data Engineer, you will be responsible for building and maintaining the core data foundations that power analytics, machine learning, and CRM activation across our US and UK markets. You will own the design and evolution of our data models and pipelines in platforms such as Snowflake, using tools like dbt and AWS to standardise schemas, improve data quality, and support advanced use cases including personalisation, experimentation, and automation. Your work will form the backbone for downstream capabilities such as propensity modelling, recommendation systems, and real‑time customer engagement. Working closely with Data Science and Marketing teams, you will translate analytical and product requirements into dependable data products. This is a senior, hands‑on role with a strong emphasis on engineering quality, documentation, and long‑term maintainability, helping ensure our data platform scales as our automation and personalisation ambitions grow. Key responsibilities • Build and evolve shared data assets (e.g. feature tables or a feature store) that support consistent training, inference, and experimentation for data science models., • Own the structure and quality of core datasets in Snowflake, including standardising schemas and ensuring data is accurate, well‑documented, and easy to use., • Partner closely with Data Scientists and ML Engineers to translate modelling and serving requirements into dependable, scalable data products., • Support CRM and activation use cases by enabling clean, timely data feeds to downstream platforms, including data models to facilitate BI development (Power BI), • A proven track record as a data engineer building reliable data pipelines and datasets used by analytics, machine learning, or customer‑facing platforms., • Degree in a technical or quantitative field (e.g. Computer Science, Engineering, Mathematics) or equivalent professional experience., • Very strong SQL and data modelling skills, • Strong experience with AWS and cloud computing, designing and operating data workloads using services such as S3, Lambda, IAM, CloudWatch, and other serverless or managed compute services., • Experience building and maintaining data pipelines via APIs, integrating external systems and downstream platforms into the data stack., • Experience developing transformation pipelines using tools like dbt, with solid engineering practices (testing, documentation, version control)., • Experience administering cloud data platforms, including managing roles and permissions, applying role‑based access control, and monitoring usage and cost across AWS and Snowflake., • Comfortable collaborating with Data Scientists, ML Engineers, and CRM teams to translate requirements into dependable, scalable data products., • Experience supporting customer or CRM data and feeding downstream activation platforms., • Familiarity with orchestration tools (e.g. Airflow) and operating data pipelines at scale. ATG Entertainment’s values set the tone for how we work, how we treat one another, and the culture we continue to build across the UK and the wider organisation. • THRIVE doing what we love (with passion and dynamism), • CONNECT through every act (with collaboration and kindness), • DARE to do different (with curiosity and courage) Everyone at ATG Entertainment is expected to play their part in achieving our goals and upholding our Corporate Social Responsibility priorities: • Inclusion: Committing to creating and upholding a positive, inclusive culture that nurtures potential and supports well-being., • Sustainability: Playing your part in reducing our environmental impact and finding more sustainable ways of working. You’ll help us uphold a positive culture around meeting our obligations, by having a positive attitude to health and safety, legal and insurance requirements and take care to understand our policies and procedures. We are all expected to participate actively in the life of the company, and opportunities will arise for you to collaborate with others across the business. Everyone at ATG Entertainment is expected to be flexible and adapt as the needs of the business change, taking on new or different responsibilities as the need arises. Our Inclusion, Diversity, Equity and Access Mission Statement - A Stage for Everyone Our stages are a platform for compelling stories – stories that are for all, by all, and of all. We shine our spotlight on our differences and believe that understanding and celebrating these differences makes us better global citizens. We are passionate about the pursuit of true diversity and equality. We strive to make our venues beacons of these ideals in our communities. Onstage and off, we hold ourselves accountable for nurturing an inclusive culture, one in which everyone can bring their authentic selves. At ATG entertainment, we provide a stage for everyone. We recognise that we do not have all the answers; but we strive to listen, to learn and to change in order to ensure ATG Entertainment becomes a truly inclusive organisation. We therefore welcome and encourage applications from individuals from the widest possible range of backgrounds and particularly welcome applications from those currently underrepresented in our workforce. We are a Disability Confident Committed Employer, which means that we are taking action to ensure that people with disabilities and long-term health conditions feel supported, engaged, and able to fulfil their potential in the workplace. We will offer an interview or recruitment event to disabled candidates who tell us they wish to participate in the scheme and who demonstrate in their application that they best meet the essential criteria for the role. Where we receive more applications than we are reasonably able to interview for any given role, we will retain applications for the next available interview opportunity wherever possible. If you’d like to discuss accessibility prior to applying, please email for a confidential discussion. Salary: 70-80kClosing Date:

Systems Engineer We are looking for an enthusiastic and meticulous Entry-Level Systems Engineer to join our innovative team at Leidos. This is an excellent opportunity for someone technically savvy who is passionate about supporting, maintaining, and improving complex systems. The successful candidate will contribute directly to mission-critical MOD projects that support UK National Security, gaining hands-on experience with advanced technology and system infrastructures. This position offers considerable scope for learning and professional growth within a highly dynamic environment. Key Responsibilities Fault Diagnosis and Resolution: Identify, troubleshoot, and resolve hardware and software issues swiftly to minimise downtime and ensure operational readiness. Inventory & Stores Management: Oversee inventory, track equipment, and manage logistics for system components, maintaining accurate and up-to-date records. Manufacturing Support: Assist in implementing build processes, configuration management, and quality control to uphold system integrity. Cross-Functional Collaboration: Work closely with multidisciplinary teams to support system integration, testing, and deployment activities. Process Documentation: Develop and maintain comprehensive documentation on system processes, configurations, and troubleshooting procedures. Routine Maintenance: Support regular system maintenance, upgrades, and performance monitoring to ensure ongoing efficiency. Safety and Compliance: Uphold all safety guidelines and organisational standards during technical operations. Required Qualifications and Experience Degree or equivalent experience in Systems Engineering, Mechanical and Electrical engineering, or related technical fields. Proven skills in diagnosing and resolving hardware and software faults. Experience in inventory or stores processing and equipment tracking. Excellent analytical and problem-solving abilities with strong attention to detail. Capability to work both independently and collaboratively within a team. Outstanding written and verbal communication skills for technical documentation and reporting. Desirable Experience Exposure to Personal Role Radios (PRRs), including configuration or maintenance. Understanding of Radio Frequency (RF) systems, including their setup, testing, or troubleshooting. Experience with ATAK (Android Tactical Assault Kit) integration or similar tactical communication platforms. Practical experience with IP configuration, including network protocol setup, IP addressing, and routing. Preferred Skills Basic knowledge of network protocols such as TCP/IP, DHCP, and DNS. Familiarity with hardware/software diagnostic tools. Adaptability and eagerness to learn new technologies. Experience in producing technical documentation and reports. Location: This role will be based in Herefordshire, with very occasional travel to other sites. Clearance Required: This role will require DV clearance. For more information and guidance please visit : gov.uk/government/publications/united-kingdom-security-vetting-clearance-levels What we do for you: At Leidos we are PASSIONATE about customer success, UNITED as a team and INSPIRED to make a difference. We offer meaningful and engaging careers, a collaborative culture, and support for your career goals, all while nurturing a healthy work-life balance. We provide an employment package that attracts, develops and retains only the best in talent. Our reward scheme includes: Contributory Pension Scheme Private Medical Insurance 33 days Annual Leave (including public and privilege holidays) Access to Flexible benefits (including life assurance, health schemes, gym memberships, annual buy and sell holidays and a cycle to work scheme) Dynamic Working Commitment to Diversity: We welcome applications from every part of the community and are committed to a truly diverse and inclusive culture. We foster a sense of belonging, welcoming all perspectives and contributions, and providing equal access to opportunities and resources for everyone. If you have a disability or need any reasonable adjustments during the application and selection stages please let us know, and we will respond in a way that best fits your needs. Who We Are: Leidos UK & EUROPE we work to make the worldsafer,healthier, andmore efficient through technology, engineering andscience. Leidos is a growing company delivering innovative technology and solutions focused on safeguarding critical capabilities and transformation in frontline services, our work in the United Kingdom includes addressing some of the most complex problems in defence, healthcare, government, safety and security, and transportation. Working together as Team Leidos we are helping to transform the UK's ait traffic management solutions by providing an integration of a complex mixture of services, at low risk, using a modern suite of systems that will deliver one version of the truth. What Makes Us Different: Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire change. Collaboration: having flexibility to do your job is one of our core benefits, enabling you to become part of our extraordinary team. We have been empowering our people to work flexibly for years. Whether you work from home, the office or on customer sites, we will give you the digital tools and the flexibility to work smarter and align your needs and ours. People: Leidos empowers people from every background to be themselves and gives you the tools to learn new skills by enabling growth whilst developing . We believe that extraordinary people need opportunities to grow, to be inspired and to inspire others. At Leidos, we invest in technical academies, career rotations and a career development plans thatthat enhance your future. TPBN1_UKTJ

Data Engineer Remote UK Salary: £45,000 - £55,000 This is an exciting opportunity to step into a high-impact Data Engineering role within a fast-scaling data and machine learning environment. You will sit at the core of the engineering function, working closely with a large data science group and shaping the foundations of their internal tooling and pipelines. The Company They are a rapidly growing data and analytics organisation operating in the alternative data and machine learning space. Their platform powers KPI prediction models used by investment-focused clients, and they have built a strong engineering culture to support a substantial data science function. With significant recent investment and continued growth, they are now expanding their ETL and automation capabilities to strengthen internal workflows and infrastructure. The Role You will focus on building, maintaining, and optimising internal ETL pipelines and workflow automations that support data scientists and enable reliable, scalable reporting. Key responsibilities include: • Designing and maintaining custom ETL pipelines in a cloud-native environment., • Automating internal processes and integrations across tools and APIs., • Supporting workflow orchestration using technologies such as Airflow or AWS Step Functions., • Containerising and deploying services using Docker., • Collaborating with data scientists to streamline their data workflows., • Contributing to improvements across orchestration, tooling, and internal engineering processes. Your Skills and Experience • Strong commercial experience with Python and common data libraries., • Proven ability to build and maintain ETL pipelines., • Hands-on experience with AWS services., • Experience with Docker and containerised workflows., • Familiarity with workflow orchestration tools., • Comfortable integrating with APIs and external tooling., • A practical, delivery-focused approach with the ability to own tasks end to end. How to Apply If this sounds like your next step, please send your CV to register your interest.

Contract Machine Learning Engineer Duration: Initially 3 months Day rate: £500, Inside IR35 Workplace: Remote, with occasional travel to client-site Inara are supporting a consultancy-led team delivering production-grade machine learning platforms for a range of end clients, and they’re looking for a senior, hands-on Contract ML Engineer to help take ML systems from experimentation into reliable, scalable production. This role is firmly focused on ML enablement and platform engineering rather than model research. You’ll be the person ensuring models can be trained, tracked, deployed, governed, and monitored properly in real-world environments. What you’ll be doing • Designing and building end-to-end MLOps platforms that support the full ML lifecycle, • Implementing and operating MLflow for experiment tracking, model registry, and versioning, • Enabling production deployments of ML models (batch and/or real-time), • Putting robust CI/CD pipelines in place for ML workflows, • Partnering closely with Data Scientists to move models from notebooks into production, • Establishing best practices around model governance, monitoring, retraining, and environments, • Integrating ML platforms with Databricks and cloud-native services What we’re looking for • Strong, real-world MLOps experience (this is not a theoretical role), • Deep hands-on MLflow experience — this is essential, • Proven track record of productionising ML models across multiple client or project environments, • Background in one or more of:, • MLOps / ML Engineering, • DevOps with ML platforms, • Data Science with a strong production focus, • Experience designing, supporting, and operating ML systems in production Technical environment (experience expected across most of these) • Python (expert-level), • Databricks, • Cloud platforms (AWS preferred; SageMaker exposure a bonus), • CI/CD for ML workloads, • Docker and Kubernetes, • Infrastructure as Code (Terraform or similar)

About Inworld Inworld is a product-oriented research lab of top AI researchers and engineers, developing best-in-class realtime multimodal models and the only realtime orchestration platform optimized for thousands of queries per second. We’ve raised more than $125M from Lightspeed, Section 32, Kleiner Perkins, Microsoft’s M12 venture fund, Founders Fund, Meta and Stanford, among others. Our technology has powered experiences from companies such as NVIDIA, Microsoft Xbox, Niantic, Logitech Streamlabs, Wishroll, Little Umbrella and Bible Chat. We’ve also been recognized by CB Insights as one of the 100 most promising AI companies globally and have been named one of LinkedIn's Top 10 Startups in the USA. Who We're Looking For A year ago, reliably working agentic systems and sub-second multimodal inference at scale barely existed. Nobody has a decade of experience here. So we're not screening for a resume template — we're looking for strong people from varied backgrounds who learn fast, thrive in ambiguity, and can show us what they've built, broken, and understood. Experience We Find Useful You don't need all of this. But you need enough to make a case. • Inference Optimization. Deep understanding of modern serving frameworks and techniques like vLLM or TRT-LLM., • Model Acceleration. Hands-on experience with quantization, distillation, caching strategies , continuous batching, paged attention, and speculative decoding., • High-Performance Systems. Proficiency in C++, CUDA, Rust, or highly optimized Python. You know how to profile code and squeeze every ounce of performance out of NVIDIA GPUs., • Distributed Systems & Scaling. Experience with Kubernetes, Ray, custom load balancing, multi-GPU/multi-node inference, and reliably handling thousands of concurrent connections., • Public work. Non-trivial systems programming projects, open-source contributions to major inference engines, or deep-dive technical write-ups., • Full-cycle ownership. You can take a model from the research team, containerize it, optimize its serving, and ensure it runs reliably in production., • Background. PhD in CS, Physics, Math, or equivalent practical experience building backend or ML systems. Who Thrives Here • You don’t need a roadmap to start walking; you’re comfortable picking a direction and building the map as you go., • You believe engineering isn't finished until it’s shipped and stable. You have a bias for impact over purely theoretical optimizations., • You don't just ship code; you obsess over the why. You’re the first to question an architecture if you think there’s a better way to solve the core latency or throughput problem., • You aren't satisfied with "the PM said so." You thrive on deep context and want to understand the fundamental logic behind every decision we make. What Working Here Is Like We hand you unclear problems and expect you to make them clear. We value engineers who say "I don't know yet" and then design the benchmark or prototype that finds out. We treat performance, latency, and reliability as first-class product features, not a box to check before launch. Impact comes before everything else, though we support sharing work and open-source contributions that move the field forward. Your work should be visible. Flat structure, fast iterations, minimal process theater. The base salary range for this full-time position is £140,000 – £200,000. In addition to base pay, total compensation includes equity and benefits. Within the range, individual pay is determined by work location, level, and additional factors, including competencies, experience, and business needs. The base pay range is subject to change and may be modified in the future. Candidates must already have the legal right to work in the United Kingdom, as visa sponsorship is not available for this role. For candidates interested in relocating to the San Francisco Bay Area in the future, full U.S. visa and relocation support may be available, subject to business needs and applicable legal and work authorization requirements.

We’re Hiring: Full Stack Software Engineer at a High-Growth Advanced Manufacturing Startup 📍 Location: London, UK (100% On-site, 5 days/week) 💰 Compensation: £100K - £200K Base + Meaningful, Above-Average Equity (4-year vest, 12-month cliff) 🤝 Backed by: $9M in Total Funding About Us Our mission is to reindustrialize the West. We build and operate distributed, software-defined factories for component production (initially focused on CNC machining) that enable scale-ups and primes in the aerospace and defense sectors to iterate faster and scale production. Launched in early 2025, we already operate 4 factories across the UK and US, and we are ramping toward 25 factories by the end of 2026. Our team combines expertise from Palantir, Raytheon, McKinsey, military special forces, and top-tier tech startups. We are currently an elite team of ~17 people, operating with a flat structure and zero middle management, focused entirely on high-agency individual contributors. The Opportunity We are looking for a highly motivated Full Stack Software Engineer with a generalist mindset, exceptional coding skills, and a passion for real-world impact. This is not another B2B SaaS tool. Your code will not just live in dashboards—it will power actual machine tools cutting precision metal parts for rockets and planes in our factories. You will see your software running on the factory floor every day, working alongside leadership to turn operational pain into impactful software products. What You’ll Do: - Full-Stack Ownership: Rebuild the entire manufacturing software stack from scratch. Jump between manufacturing execution systems (MES), AI agents for quoting, data ontology work, and UX. - Architect & Deploy: Architect, design, and develop critical systems for factory automation, real-time data processing, machine learning, and real-time monitoring. - Factory-First Impact: Deploy and iterate software rapidly, working directly on the ground in our factories to control production and identify bottlenecks. - Scale the Future: Optimize for machine tool utilization and help orchestrate a massive, franchised network of 100s of production facilities across the US and Europe. Who You Are (The Ideal Profile): - Experience: 2-5 years of full-stack software engineering experience (exceptions made for truly exceptional talent). - Startup DNA: You must have experience at a Tier-1 VC-backed startup. (Bonus points if you are an ex-founder, ex-CTO, or have experience at top-tier aerospace/defense firms like Palantir or Anduril). - Tech Stack: You are highly familiar with TypeScript, React, Postgres, and AWS. (A slight preference is given to candidates with strong UX/front-end experience building front-end heavy SaaS products). - Mission-Driven & Pragmatic: You are deeply aligned with the mission of onshoring manufacturing and are known for fast, pragmatic execution. - Commitment: You are willing to work insanely hard and are comfortable working completely on-site (5 days a week) in our London factory environment. 🚫 Who This is NOT For: - Professionals looking for remote or hybrid work. - Candidates who are too academic (e.g., extensive PhD research) or lack fast-paced startup experience. - Those who are too senior and looking for management roles rather than hands-on, 0-to-1 building.

Data Engineer Salary: £40 - 72K + Benefits Location: London or Manchester (aligned to office for client on-site requirements) Working Pattern: Hybrid / On-site depending on client needs Security Clearance: SC Clearance required You will join a people-focused digital consultancy supporting data-driven services across the UK public sector. The organisation values collaboration, inclusion, and work-life balance, and actively supports continuous learning and professional development through access to training, modern engineering tools, and supportive multidisciplinary teams. The consultancy works closely with government departments and public sector organisations to design, build, and operate secure, scalable data platforms that enable advanced analytics, data science, and machine learning. Diversity and inclusion are core values, and hiring decisions are based on skills, experience, and potential. Empowering individuals and building strong teams are central to delivering meaningful outcomes for clients and citizens. This role is suited to Data Software Engineers with a strong technical foundation and an interest in data engineering, data science, and machine learning. You will work within agile, multidisciplinary teams alongside data scientists, platform engineers, and stakeholders to build robust data processing systems in secure environments. Role Responsibilities Design, build, and maintain scalable data processing and integration systems to support data science and analytics workloads. Develop high-quality, well-tested software using a Test-Driven Development (TDD) approach. Collaborate closely with data scientists to enable effective use of data for analytics and machine learning. Build and operate cloud-based solutions, with a strong focus on AWS services. Work with messaging, streaming, or data flow technologies to support real-time and batch data processing. Contribute to infrastructure and platform automation using Infrastructure as Code. Participate in agile ceremonies, technical design discussions, and code reviews. Ensure solutions meet security, performance, and reliability requirements within public sector environments. What You Will Bring to the Team A strong interest in data, particularly data engineering, data science, or machine learning. A solid technical background, with experience in Java, Python, TypeScript, or similar languages. Experience developing software using TDD or a strong willingness to adopt TDD practices. Strong problem-solving skills and the ability to work collaboratively within multidisciplinary teams. Good communication skills, with the ability to explain technical concepts to both technical and non-technical stakeholders. A proactive mindset with attention to detail and a commitment to quality. Desirable Skills and Experience Experience working with cloud platforms, ideally AWS. A strong Linux background. Experience with data integration and messaging technologies such as Apache NiFi, Apache Kafka, RabbitMQ, or similar tools. Experience using Infrastructure as Code tools such as Terraform or CloudFormation. Previous experience working in a consultancy or public sector delivery environment. Familiarity with secure or regulated environments. Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients. If you need any help or adjustments during the recruitment process for any reason , please let us know when you apply or talk to the recruiters directly so we can support you. TPBN1_UKTJ

Key Responsibilities: Lead the design and delivery of end-to-end AI/ML solutions aligned to organisational strategy and operational objectives. Define scalable, secure, and maintainable AI architectures, covering data pipelines, model lifecycle management, deployment, and monitoring. Establish architectural standards, design patterns, and engineering best practices. Provide technical oversight across the full AI lifecycle: concept, prototyping, production deployment, and optimisation. Review and approve solution designs produced by AI Solution Engineers and wider delivery teams. Lead, mentor, and develop AI Solution Engineer(s) and associated technical staff. Set technical direction and ensure consistency in engineering standards across AI initiatives. Conduct code and design reviews to ensure quality, security, and maintainability. Identify capability gaps and drive upskilling across the AI team. Foster a collaborative, high-performance engineering culture. Own technical delivery of AI solutions, ensuring alignment with scope, timelines, and quality expectations. Oversee deployment of AI systems into secure or controlled environments. Ensure compatibility of AI solutions with DevSecOps pipelines and enterprise technology stacks. Define and monitor performance metrics for deployed models, ensuring operational effectiveness and reliability. Lead remediation and optimisation efforts when performance, compliance, or operational risks arise. Embed ethical AI principles, including fairness, explainability, auditability, and transparency, into solution design. Ensure compliance with data governance, security, and regulatory requirements. Support accreditation and assurance activities within regulated or defence environments. Identify, assess, and mitigate technical risks associated with AI deployment. Translate operational or business requirements into AI-enabled solution approaches. Engage senior stakeholders, providing clear technical briefings and strategic recommendations. Contribute to AI capability roadmaps and innovation strategies. Lead technical input into bids, proposals, or programme planning activities where required. Conduct horizon scanning to evaluate emerging AI technologies and assess relevance to operational use cases. Drive continuous improvement of AI engineering practices, tooling, and delivery methods. Champion adoption of MLOps practices to enhance repeatability, traceability, and scalability. Promote knowledge sharing and best practice dissemination across engineering teams. Who we are looking for: The successful candidate will be a technically astute AI Solution Lead who thrives on engineering execution to realise enterprise goals.You will be responsible for designing and sustaining AI/ML solutions that align with the Army Collective Training Service (ACTS) architectural vision. The AI Solution Lead must possess a deep understanding of AI technologies, with the ability to leverage data insights for model development and optimisation using frameworks such as TensorFlow and PyTorch, while also driving intelligent process automation across the machine learning lifecycle through platforms like Azure Machine Learning. This role is pivotal in aligning AI technology with architecture vision and goals, ensuring secure, interoperable systems to drive and automate data driven decision making. Essential Skills and Experience: Extensive experience in leading technical teams designing and delivering end-to-end AI/ML solutions from concept to production within regulated or controlled environments. Strong Python expertise and deep knowledge of ML frameworks Experience defining scalable ML architectures, including lifecycle management, monitoring, and resilience strategies Experience overseeing deployment using containerisation and orchestration platforms and governing CI/CD and MLOps practices Strong understanding of API-led integration within enterprise systems Experience embedding responsible AI principles into architectural design Strong understanding of secure coding, data protection, and governance frameworks, and experience supporting accreditation or assurance processes Accountability for technical risk identification and mitigation Experience translating operational requirements into AI-enabled capabilities Ability to engage and influence senior stakeholders Experience defining AI roadmaps and technical strategy Strong decision-making capability balancing innovation, risk, and operational constraints Proven experience leading, mentoring, and developing AI/ML engineers Strong systems-level analytical thinking Ability to operate autonomously with accountability for outcomes Degree in relevant discipline or equivalent senior-level experience TPBN1_UKTJ

We re looking for a technically strong and collaborative research engineer with a solid grounding in AI, machine learning, cyber or information security, computer science, engineering, or a related field, ideally educated to Master s level or with equivalent experience. It s a highly applied researc

Senior Data & Machine Learning Engineer (MS Fabric focus) - Warrington (hybrid) We're working with a well-established business that's investing heavily in its data and AI capability and is now looking for a Senior Data & Machine Learning Engineer to play a key role in shaping their modern data platform. This is a senior, hands-on role where you'll take ownership of a Fabric-centric data estate, lead technical decisions, and work closely with BI teams, data scientists and senior stakeholders. They're looking for someone who enjoys building scalable data platforms, mentoring others, and turning complex business requirements into robust technical solutions. What's in it for you? Hybrid working from their Warrington office Salary up to £65K + 10% bonus 20 days annual leave + BH – increases with service Pension Enhanced sick pay Buy and sell holidays Life assurance Health & wellbeing benefits Employee Assistance Programme Cycle to Work Long service awards Work with modern tech including Microsoft Fabric, Azure AI and ML tooling Key skills Strong experience with Microsoft Fabric (Data Factory, Lakehouse, OneLake, Pipelines, SQL Warehouse) Solid data engineering background using SQL, Python, PySpark, Delta Lake E xperience building and optimising end-to-end data pipelines CI/CD experience for analytics and data platforms (Azure DevOps or GitHub) Exposure to AI/ML platforms such as Azure AI, Azure ML or Azure OpenAI Strong knowledge of Power BI and/or Qlik at enterprise scale Confident communicator, comfortable working with senior stakeholders Previous experience mentoring data engineers Day to day Owning and developing the organisation's Microsoft Fabric data platform Designing and building scalable, reliable data pipelines and architectures Leading the move from legacy and hybrid platforms to a modern Fabric setup Supporting BI teams with semantic models, datasets and performance optimisation Enabling ML and MLOps workflows, from feature engineering to deployment Working closely with data scientists, analysts, IT and the wider business Embedding data quality, governance and best-practice standards Providing technical leadership and coaching to other engineers If this sounds like your next move, apply now or email As an industry leading, nationwide Marketing, Digital, Analytics, IT and Design recruitment agency, we are continually receiving new assignments to work on, so keep a close eye on our website, Facebook, LinkedIn and Twitter pages for a full list of current permanent and interim opportunities as well as marketplace news and fun stuff. Forward Role is operating as an employment agency. TPBN1_UKTJ

We re looking for a technically strong and collaborative research engineer with a solid grounding in AI, machine learning, cyber or information security, computer science, engineering, or a related field, ideally educated to Master s level or with equivalent experience. The ideal candidate will brin

Location / WFH: You'll be based in the London, dog friendly office on a fulltime basis, with daily catered lunch, working hours 0900-1700 (with no expectation to do more).

Complete online training designed to take you from beginner level to your first AI Engineer role. You’ll learn Python programming, machine learning fundamentals, data handling, and applied AI use cases. Entry-level AI Engineer roles across multiple industries.

AI Engineer Programme – Job Support Included. Complete online training designed to take you from beginner level to your first AI Engineer role. Study part-time, build practical artificial intelligence and machine learning skills, and receive dedicated job support to help you secure employment.

AI Engineer Programme – Job Support Included.Complete online training designed to take you from beginner level to your first AI Engineer role.Study part-time, build practical artificial intelligence and machine learning skills, and receive dedicated job support to help you secure employment.Comple

AI Engineer Programme – Job Support Included.Complete online training designed to take you from beginner level to your first AI Engineer role.Study part-time, build practical artificial intelligence and machine learning skills, and receive dedicated job support to help you secure employment.Comple

Job Description Senior Machine Learning Engineer (Python TensorFlow) Cambridge to £90k Do you have experience of solving real-world problems via Machine Learning techniques? You could be progressing your career working on real-world problems within a highly successful SaaS tech company that provides AI and ML products for automotive innovators to design better cars faster and achieve greater sustainability through ... ZIPC1_UKTJ

A pioneering fintech company based in London is seeking a Machine Learning Engineer to enhance machine learning systems.Responsibilities include designing systems, collaborating with teams, and utilizing data for predictive modeling.The ideal candidate will have skills in Python, Java, and R, along

Senior Machine Learning Engineer - Agentic AI Platform. What We're Looking For Strong Python engineering experience with production-grade systems. Experience with stateful systems, caching, and reliability engineering.

We are looking for aMachine Learning Ops Engineerto help operationalise machine learning across Affinity Water on a 24 month FTC.

Senior Software Engineer (Python) – Reducing Carbon Emissions with Machine Learning! Python on AWS £90-£110,000 per annum plus stock London Office - 1-2 days a week Are you a Senior Software Engineer with a passion for working with curious, humble colleagues to build exceptional customer-foc

Main responsibilities of the position - Collecting data through means such as analysing business results or by setting up and managing new studies - Transferring data into a new format to make it more appropriate for analysis - Build tools to automate data collection - Compare and analyze provided

Machine Learning Engineer - Outside IR35, up to £550 per day.

We established Faculty in 2014 because we thought that AI would be the most important technology of our time.

A leading data and technology organization is seeking a Machine Learning Engineer to join their data team.This hybrid role involves designing and building robust data pipelines and championing MLOps best practices.You will work closely with analysts and stakeholders to ensure ML models are productio

A biomedical AI company is seeking a Senior Machine Learning Engineer to enhance ML models' performance and scalability.

Take ownership of customer outcomes with the autonomy to make decisions that surprise and delight our customers. We are now looking for a Machine Learning Engineer to build and deliver innovative AI products to our customers. Have strong Python and Machine Learning Engineering skills, with experienc

Designing and building production grade machine learning and optimisation systems that power Deliveroo’s core decisions at scale. At Deliveroo, you’ll do work that matters, solving complex problems in a fast moving, global marketplace. Take Home Assignment: A timed ML and system design exercise

About the job Machine Learning Engineer NLP Specialist. Machine Learning Engineer NLP Specialist. Advanced Python skills, with the ability to develop and optimise machine learning pipelines.

A leading tech research organization in Greater London is seeking a skilled Machine Learning Engineer to join their Reinforcement Learning Team.

Job Title: Lead Machine Learning Engineer (SageMaker, MLOps, Explainability).We are seeking an experienced Lead Machine Learning Engineer to design, build, and productionise machine learning models for our innovative matching platform.You will work across the entire ML lifecycle, from feature engine

Be part of a world class research engineering team to grow the state-of-the-art of ultra realistic AV simulations using foundation models. In this hybrid role, you will report to an Engineering Director. Help hire outstanding research engineers from diverse backgrounds.

Machine Learning Engineer | Omics | RNA | DNA | PyTorch | Hybrid, London. We are particularly interested in individuals with experience working with foundational generative models of DNA or transcriptomic data.

A leading technology company in London is seeking a Senior Machine Learning Engineer to join their team.The ideal candidate will have over 5 years of software development experience and strong expertise in NLP and machine learning.Responsibilities include improving ML model performance and collabora