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Product Manager (AI & Workflow) - Near Edinburgh (Hybrid) - 90K plus Bonus Having placed a number of people into their teams ourselves, Lorien's long standing client based near Edinburgh - a leader in their industry with a growing and consistently award-winning product line making a huge difference around the globe - have asked us to help them in their searches for a Product Manager to lead the strategy, development and delivery of AI-enabled diagnostic software and workflow solutions. This is a senior individual contributor role with broad ownership across the product lifecycle, from shaping roadmap priorities through to launch readiness and continuous improvement. The successful candidate will work closely with technical, clinical, quality and commercial teams to turn market and user needs into well-defined product requirements. The role suits someone who can balance customer value, technical feasibility and regulatory expectations in a highly regulated software environment. Role outline • Define and maintain the roadmap for AI and workflow products, ensuring alignment with business goals and customer needs., • Translate market insight, clinical feedback and user requirements into clear product plans and specifications., • Lead product planning across scope, priorities, milestones, dependencies and release activity., • Coordinate cross-functional teams including software, data, clinical, quality, regulatory, security, service and commercial stakeholders., • Own backlog priorities and support release governance, readiness decisions and change control activity., • Drive risk management across product delivery, including performance, compliance, cybersecurity, privacy and continuity considerations., • Support clinical evidence planning and regulatory submissions by ensuring product inputs and documentation are complete and fit for purpose., • Contribute to data governance activities relating to model development, monitoring and product performance., • Support business case development, budgeting and commercial planning for software and subscription-based offerings., • Help shape product positioning, internal communication and go-to-market readiness for new releases and enhancements., • Use customer feedback and post-release insight to improve usability, efficiency and workflow integration., • Lead stakeholder discussions, ensuring decisions, actions and risks are clearly captured and progressed. What they're looking for • Equivalent tenure and/or degree in a technical/scientific or business-related discipline; and ideally an advanced qualification in biomedical/computer science/data science/similar., • Good grasp of AI and Machine Learning concepts, including datasets, validation, performance measures, monitoring and risk considerations., • Previous track record of product management / Project Management within AI, MedTech oriented software/diagnostics/digital health and/or workflow oriented software products., • Strong understanding of Software as a Medical Device or other regulated healthcare software environments., • Experience working with cross-functional teams in complex product settings and influencing senior stakeholders., • Knowledge of clinical evidence generation and regulated development standards (ISO / IEC)., • Familiarity with interoperability and workflow integration, such as DICOM, HL7, FHIR, PACS or EHR-linked environments., • Understanding of Cloud or Software as a Service based product delivery models., • Comfort working in a fast-paced setting where product decisions require both strategic thinking and hands-on delivery focus. This is a strong opportunity for a product management professional who wants to influence the direction of AI-led software in a role that combines strategy, delivery and stakeholder leadership. If you enjoy working at the intersection of innovation, regulated software and value, this position offers real scope to make an impact. Apply now with your latest CV for immediate consideration. Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.

Lead ML Engineer (12-month FTC) £80,000 - £90,000 Remote (UK Based Only) This is a rare opportunity to step into a senior, hands-on ML Engineering role where you will shape how machine learning is delivered, scaled, and embedded across a large, complex organisation. THE COMPANY They are a large, well-established professional services organisation with a strong reputation for quality, trust, and long-term client relationships. Data and AI are a strategic priority, with significant internal backing to move from successful proof of concepts to robust, production-grade platforms. THE ROLE As a Lead ML Engineer, you will take ownership of ML Engineering delivery end-to-end, helping define best practice while remaining highly hands-on. Specifically, you can expect to be involved in the following: • Leading the ML Engineering capability and contributing to the wider data and AI strategy., • Designing, building, and productionising ML pipelines aligned to business goals., • Delivering NLP and LLM-driven solutions, including fine-tuning and deployment., • Implementing strong MLOps practices across model training, deployment, and monitoring., • Working closely with Data Scientists to support, maintain, and improve models in production., • Building APIs and data products that enable ML solutions to be consumed across the business. SKILLS AND EXPERIENCE The successful Lead ML Engineer will have the following skills and experience: • Commercial experience delivering ML solutions end-to-end., • Strong Python and SQL skills, with experience building data and ML pipelines., • Hands-on experience with Databricks and Azure., • Practical experience with NLP and LLMs, including fine-tuning and applied use cases., • Solid understanding of MLOps, CI/CD for ML, and production model monitoring., • Exeperience with stakeholders and translating business problems into technical solutions., • Experience building or integrating APIs, such as with FastAPI, is beneficial. BENEFITS The successful Lead ML Engineer will receive the following benefits: • Salary between £80,000 - £90,000 - depending on experience HOW TO APPLY Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

Join Our Client as a Data Solution Architect (GCP)Location: EdinburghContract Type: Temp to Perm (12-month initial contract) Are you ready to lead the charge in AI innovation within the financial sector? Our client is searching for a dynamic Data/AI Solution Architect to join the IDEA Lab-an exciting hub for pioneering AI and data solutions! This role offers an incredible opportunity to shape the future of data-driven decision-making in a prominent financial institution. About the Team: They are the engine room for AI innovation, driving rapid prototypes, reusable patterns, and scalable data solutions across the Business Transaction Banking (BTB) platform. As part of this vibrant team, you'll provide deep technical expertise and help shape forward-looking AI and data strategies. Role Purpose: As a Data/AI Solution Architect, you will be at the forefront of designing scalable, secure, and resilient data and AI systems. Your expertise will be instrumental in driving strategic initiatives including Machine Learning, LLMOps, and GCP cloud migration. You will bridge the gap between business needs and technical execution, ensuring compliance with data governance, security, and ethical AI standards. Key Responsibilities: • Strategy & Design:Define end-to-end architectures for AI, ML, and data solutions on Google Cloud Platform (GCP) while ensuring alignment to platform strategy and security controls., • Technical Leadership:Deliver high-quality solutions using GCP cloud-native services such as BigQuery, Cloud Run, and Vertex AI., • Cloud Integration:Utilize your understanding of Kubernetes, service mesh, and network boundaries to architect efficient GCP workloads., • Design Patterns:Implement API and service integration patterns using Istio, Apigee, and modern microservice standards., • Governance & Compliance:Ensure that all solutions adhere to strict regulatory and security standards., • Collaboration:Work closely with engineering, data science, and business teams to translate requirements into actionable designs. Required Skills & Experience: • Cloud Expertise:Proven experience with major cloud platforms like GCP, • Data & AI Knowledge:Strong understanding of modern data architecture, Machine Learning, and AI tools. Experience with large-scale data migrations is a plus!, • Architecture Leadership:Ability to design orchestrations for AI and ML systems, articulating trade-offs and leading design decisions., • Communication Skills:Exceptional ability to convey complex technical concepts and represent the lab's technical direction in governance forums. Beneficial Skills: • Experience with Vertex AI or other model lifecycle tooling., • Familiarity with LangChain/LangGraph and AI workflow orchestration., • Experience in multi-cloud environments and understanding of enterprise integration. Working Pattern: Enjoy a hybrid work style-spend at least two days a week (40% of your time) in our Edinburgh office, collaborating with a talented team. Why Join the IDEA Lab? This is your chance to be at the center of innovation! Influence platform-wide patterns, accelerate AI transformation, and work with highly skilled teams delivering cutting-edge solutions. If you're ready to make a significant impact and lead the way in AI advancements, we'd love to hear from you! We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention. Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.

Client: Our client a leading Multinational Semiconductor Company requires Lead Digital Design Verification Engineer for role based in Edinburgh, Scotland. You will be required onsite 4 days per week. Role: You will be responsible for defining and supporting the adoption of cutting-edge verification tools and methodologies with a focus on AI and Machine Learning. You will have a horizontal role working with multiple projects and teams to accelerate adoption of latest verification best practices. Responsibilities: • Develop and support adoption of generative AI tools to create and update, UVM and Formal verification environments, • Develop methodology guidance and end to end flows to ensure AI tools used in a consistent, efficient and predictable way, • Develop and roll out solutions that reduce verification debug time, • Automate documentation checking to improve quality and consistency, • Build tools and processes to support verification planning, • Optimise UVM regressions through improved automation and machine learning, • Maintain and develop best practices for Functional Safety Verification, Gate Level Simulation and Low Power Verification, • Maintain and improve design review checklists and quality documentation Education: • Degree in Electrical/Electronic Engineering, Microelectronics, or a related discipline Experience: • 4+ years experience in the microelectronics/EDA industry, • Proficiency in System Verilog and assertions, • Hands-on experience with Metric Driven Verification (MDV), • Strong knowledge of constrained-random verification techniques (e.g. UVM), • Excellent spoken and written English, • Self-motivated, with strong planning, interpersonal, and communication skills Additional Skills/Preferences: • Formal verification experience and related applications, • Proficiency with scripting languages (e.g. Python), • Knowledge of AI agent development (tools, concepts, and infrastructure), • Methodology development and change management experience, • Familiarity with front-end design tools (e.g. LINT, CDC analysis), • Exposure to quality processes and standards (e.g. ISO 9001, ISO 26262) Contact: For further information please contact Míchéal at Software Placements Ltd on 00353 1 5254642 or email micheal@softwareplacements.ie

Senior Design Verification Engineer Edinburgh Global Semiconductor Leader I am working with a world-class engineering team based in Edinburgh, developing leading-edge IP for a wide range of high-tech markets. They are looking for a Senior Design Verification Engineer. As part of the Engineering group, you will play a key role in defining and driving the adoption of advanced verification tools and methodologies, with a particular focus on AI and machine learning. This is a cross-functional role, collaborating with multiple projects and teams to accelerate the adoption of best-in-class verification practices. Key Responsibilities • Develop and support the adoption of generative AI tools to create and maintain UVM and formal verification environments, • Define methodologies and end-to-end flows to ensure AI tools are used in a consistent, efficient, and predictable manner, • Develop and deploy solutions to reduce verification debug time, • Automate documentation checks to improve quality and consistency, • Build tools and processes to support verification planning, • Optimise UVM regression flows through enhanced automation and machine learning techniques, • Maintain and evolve best practices for Functional Safety Verification, Gate-Level Simulation, and Low Power Verification Qualifications & Required Skills • Degree in Electrical/Electronic Engineering, Microelectronics, or a related discipline, • 4+ years’ experience in the microelectronics/EDA industry, • Proficiency in SystemVerilog and assertions, • Hands-on experience with metric-driven verification, • Strong knowledge of constrained-random verification techniques (e.g. UVM) Additional Skills (Desirable) • Experience with formal verification, • Proficiency in scripting languages such as Python, • Knowledge of AI agent development What’s on Offer As a leading semiconductor company, you can expect a highly competitive compensation package, including salary, RSUs, a bonus scheme, and an employee stock purchase plan. Additional benefits include wellness days, as well as private medical and dental coverage. Because of the experience level of the role, only candidates in the UK and Ireland can be considered. Visa sponsorship can be given for Engineers already living and working in the uK. For more information, please contact Rachel Mason at IC Resources

Systems Research Engineer European Tech Recruit are working closely with a leading telecommunications & research company, based in Edinburgh, who are looking for a talented Systems Research Engineer to join their team. In this role you will join a research centre driving new AI Infra & Agentic Serving architectures and helping define the next-generation large-scale data centre and AI infrastructure systems. Positioned at the intersection of advanced systems research and industrial-scale engineering, our client's teams turn innovative system designs into deployable, real-world technologies. This role is ideal for recent PhD graduates looking to build research-driven engineering experience in areas such as operating systems, distributed systems, AI model serving, and machine learning infrastructure. You will work closely with senior architects on real-world projects, helping to prototype and optimize next-generation AI infrastructure. Responsibilities as Systems Research Engineer: • Distributed Systems Research & Development: Architect, implement, and evaluate distributed system components for emerging AI and data-centric workloads. Drive modular design and scalability across CPU, GPU, and NPU clusters, building highly efficient serving and scheduling systems., • Performance Optimization & Profiling: Conduct in-depth profiling and performance tuning of large-scale inference and data pipelines, focusing on KV cache management, heterogeneous memory scheduling, and high-throughput inference serving using frameworks like vLLM, Ray Serve, and modern PyTorch Distributed systems., • Scalable Model Serving Infrastructure: Develop and evaluate frameworks that enable efficient multi-tenant, low-latency, and fault-tolerant AI serving across distributed environments. Research and prototype new techniques for cache sharing, data locality, and resource orchestration and scheduling within AI clusters., • Research & Publications: Translate innovative research ideas into publishable contributions at leading venues (e.g., OSDI, NSDI, EuroSys, SoCC, MLSys, NeurIPS, ICML, ICLR) while driving internal adoption of novel methods and architectures., • Cross-Team Collaboration: Communicate technical insights, research progress, and evaluation outcomes effectively to multidisciplinary stakeholders and global research teams. Requirements: • PhD in systems, distributed computing, or large-scale AI infrastructure., • Strong knowledge of distributed systems, operating systems, machine learning systems architecture, Inference serving, and AI Infrastructure., • Hands-on experience with LLM serving frameworks (e.g., vLLM, Ray Serve, TensorRT-LLM, TGI) and distributed KV cache optimization., • Proficiency in C/C++, with additional experience in Python for research prototyping., • Solid grounding in systems research methodology, distributed algorithms, and profiling tools., • Team-oriented mindset with effective technical communication skills. Desirable Experience: • Publications in top-tier systems or ML conferences (NSDI, OSDI, EuroSys, SoCC, MLSys, NeurIPS, ICML, ICLR)., • Understanding of load balancing, state management, fault tolerance, and resource scheduling in large-scale AI inference clusters., • Prior experience designing, deploying, and profiling high-performance cloud or AI infrastructure systems. If this role is of any interest please apply directly on LinkedIn or send a copy of your CV to nh@eu-recruit.com. By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice (https://eu-recruit.com/about-us/privacy-notice/)

We are seeking Systems Research Engineers with a strong interest in computer systems, distributed AI infrastructure, and performance optimization. These roles are ideal for recent PhD graduates or exceptional BSc/MSc engineers looking to build research-driven engineering experience in areas such as operating systems, distributed systems, AI model serving, and machine learning infrastructure. You will work closely with senior architects on real-world projects, helping to prototype and optimize next-generation AI infrastructure. Required Qualifications and Skills: · Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related field. · Strong knowledge of distributed systems, operating systems, machine learning systems architecture, Inference serving, and AI Infrastructure. · Hands-on experience with LLM serving frameworks (e.g., vLLM, Ray Serve, TensorRT-LLM, TGI) and distributed KV cache optimization. · Proficiency in C/C++, with additional experience in Python for research prototyping. · Solid grounding in systems research methodology, distributed algorithms, and profiling tools. · Team-oriented mindset with effective technical communication skills. Desired Qualifications and Experience: · PhD in systems, distributed computing, or large-scale AI infrastructure. · Publications in top-tier systems or ML conferences (NSDI, OSDI, EuroSys, SoCC, MLSys, NeurIPS, ICML, ICLR). · Understanding of load balancing, state management, fault tolerance, and resource scheduling in large-scale AI inference clusters. · Prior experience designing, deploying, and profiling high-performance cloud or AI infrastructure systems.

Systems Research Engineer - AI Infrastructure / Distributed Systems We're partnered with a leading advanced technology research centre in the UK, focused on building next-generation AI-native infrastructure. They're seeking a Systems Research Engineer for AI Infrastructure and Distributed Systems to join them onsite in Edinburgh on a permanent basis. As large language models continue to reshape the software stack, this team is pioneering scalable, high-performance systems for training and serving AI at data centre scale. Sitting at the intersection of cutting-edge research and real-world deployment, the group transforms novel system architectures into production-ready technologies that will define the future of distributed AI. This is an excellent opportunity for engineers with a strong systems background who want to work on complex, research-driven challenges in distributed infrastructure, AI serving, and performance optimisation. The Role You will design and build core components of distributed AI systems, working across infrastructure layers to improve scalability, efficiency, and performance of large-scale model serving environments. Key Responsibilities: Distributed Systems Engineering • Design, implement, and evaluate distributed system components for AI and data-intensive workloads, • Build scalable infrastructure across heterogeneous environments (CPU, GPU, accelerators), • Develop advanced scheduling and serving systems for large-scale AI workloads Performance Optimisation • Profile and optimise large-scale inference pipelines, • Improve key-value cache efficiency and memory scheduling, • Identify bottlenecks and enhance system scalability using systematic performance analysis AI Serving Infrastructure • Develop low-latency, multi-tenant, fault-tolerant model serving systems, • Work on areas such as cache sharing, data locality, and cluster scheduling, • Prototype and evaluate next-generation inference architectures Research & Innovation • Contribute to cutting-edge systems and ML research, • Publish at leading conferences and drive internal adoption of new approaches Collaboration • Work closely with global research and engineering teams, • Communicate technical findings and system insights clearly Requirements • BSc or MSc in Computer Science, Electrical Engineering, or related field, • Strong fundamentals in distributed systems and operating systems, • Experience with machine learning systems and AI inference infrastructure, • Hands-on experience with LLM serving frameworks, • Strong programming skills in C/C++, • Python for prototyping and experimentation, • Experience with performance profiling and optimisation tools, • Solid understanding of distributed algorithms Nice to Have • PhD in systems, distributed computing, or AI infrastructure, • Publications in top-tier systems or ML conferences, • Experience with load balancing, fault tolerance, and resource scheduling, • Background in large-scale cloud or AI infrastructure environments Why Apply? • Work on cutting-edge AI infrastructure challenges at scale, • Bridge research and real-world system deployment, • Collaborate with leading experts in distributed systems and AI, • Shape the future of large-scale AI systems In accordance with local employment laws, applicants must have current, valid authorisation to work in the UK at the time of application. We are unable to sponsor employment visas for this role. Applications from individuals without existing work authorisation for the UK cannot be considered. If this sounds interesting and you'd like to learn more, click the link below to apply or email me with a copy of your CV on smouland@eu-recruit.com By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice (_)

About the Role Are you passionate about building infrastructure that powers AI systems capable of learning from and trading global financial markets in real time? Predictiva is looking for a DevOps / MLOps Engineer to take full ownership of our internal and production infrastructure as we continue to scale. You will work directly with the CTO and engineering teams across our autonomous trading platforms, our AI consulting engagements with financial institutions, and our growing suite of applied AI services. This is a highly practical, high-ownership role. It suits a strong mid-level engineer ready to step up, or a senior engineer who wants broad responsibility in a fast-moving, technically ambitious environment. ----------------------------- About Predictiva Predictiva is an award-winning AI FinTech company developing autonomous trading systems that leverage advanced machine learning to trade global financial markets. Our mission is to make cutting-edge AI trading technology accessible to professionals and institutions worldwide. Our platforms serve both enterprise clients and a growing retail user base across multiple countries. We also partner with financial institutions across the UK, Europe, and the GCC to deliver applied AI implementations in production environments. Backed by a team of researchers, engineers, and financial experts, Predictiva is recognised as one of the Top 50 Data-Driven AI Startups in Europe and is a winner of the Innovate UK Smart Grant. ----------------------------- Key Responsibilities As our DevOps / MLOps Engineer, you will: Infrastructure Ownership • Own, improve, and standardise company infrastructure across AWS, Azure, GCP, and on-premises/Proxmox environments., • Design and build infrastructure for new trading, ML, and data engineering projects., • Manage cloud networking, IAM, security boundaries, secrets, and deployment environments., • Contribute to architecture and design decisions across the company's infrastructure estate. Containers and Orchestration • Operate and maintain containerised workloads using Docker, Kubernetes, EKS, Azure Container Apps, and Cloud Run. Infrastructure as Code and Automation • Maintain and improve infrastructure as code using Terraform and Ansible., • Build and support CI/CD workflows using GitHub Actions and ArgoCD. Observability and Reliability • Improve monitoring, alerting, logging, and distributed tracing using Prometheus, Grafana, ELK, OpenTelemetry, and cloud-native tools., • Drive improvements to infrastructure reliability, cost efficiency, security, and maintainability. Data and ML Infrastructure • Support databases, streaming systems, and data infrastructure, including Kafka/MSK, Redis, MongoDB, PostgreSQL/RDS, TSDB, BigQuery, and Bigtable., • Support ML model deployment pipelines, experiment tracking, and model lifecycle management. Developer Support • Work closely with developers to support deployments, debug environment issues, and resolve operational problems quickly. ----------------------------- About You We are looking for someone who can contribute quickly, take ownership, and make sound engineering decisions. The ideal candidate has operated real production systems, understands tradeoffs, and can articulate why they chose a particular approach rather than simply listing tools. You should be comfortable in a startup environment where priorities shift quickly and ownership is broad. Essential qualifications: • 3+ years of professional experience in DevOps, infrastructure engineering, platform engineering, SRE, or cloud engineering., • Strong hands-on experience operating production infrastructure., • Strong Linux administration skills and networking fundamentals., • Production experience with at least one major cloud provider; ideally across GCP, AWS, and Azure., • Hands-on experience with Docker and Kubernetes., • Experience with infrastructure as code, especially Terraform., • Experience with configuration management and automation, ideally Ansible., • Experience building and maintaining CI/CD pipelines., • Experience with monitoring, logging, metrics, tracing, alerting, and incident investigation., • Practical experience with IAM, secrets management, access control, and infrastructure security., • Ability to debug complex infrastructure, deployment, and runtime issues., • Strong scripting ability in Python and shell., • A BSc or higher in Computer Science, Engineering, or a related technical field. Desirable qualifications: • Experience with Ray clusters or distributed ML compute infrastructure., • Experience with Weights and Biases or equivalent ML experiment tracking platforms., • MLOps or model lifecycle management experience., • Familiarity with ML/AI platform infrastructure or RAG-based applied AI systems., • Experience with trading systems, fintech, or financial market infrastructure., • Cloud architecture certifications from AWS, Azure, or GCP., • Cost optimisation experience in multi-cloud environments., • Developer tooling or internal platform improvement experience. ----------------------------- What We Offer • Competitive salary., • Pension scheme., • Employee share options through our equity pool., • 28 days paid annual leave plus UK bank holidays., • Free unlimited personal access to our trading platforms., • Access to powerful cloud-based compute resources., • Company laptop and technical tools., • The opportunity to work on production AI and FinTech infrastructure at a genuine scale., • A collaborative environment of scientists, engineers, and financial innovators. ----------------------------- Why Join Us At Predictiva, you will have the chance to work at the intersection of AI research, financial innovation, and scalable infrastructure engineering. You will help build and operate the systems that keep our trading platforms and AI services running reliably at scale, and you will do it alongside a team that values ownership, technical excellence, and pragmatic problem-solving.

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. The Programme Complete this 10–14 week online programme with approximately 10–15 hours of study per week. You’ll learn Python programming, machine learning fundamentals, data handling, and applied AI use cases. The programme includes hands-on projects, real-world problem-solving, portfolio development, expert tutor support, and career guidance. The Outcome Entry-level AI Engineer roles across multiple industries. Starting salaries: £35,000 – £45,000+ Who This Is For Beginner-friendly and suitable for career changers. No prior AI experience required. UK-based learners only. Apply now. Limited spaces available.

Product Manager (AI & Workflow) – Near Edinburgh (Hybrid) – 90K plus Bonus Having placed a number of people into their teams ourselves, Lorien’s long standing client based near Edinburgh - a leader in their industry with a growing and consistently award-winning product line making a huge difference around the globe - have asked us to help them in their searches for a Product Manager to lead the strategy, development and delivery of AI-enabled diagnostic software and workflow solutions. This is a senior individual contributor role with broad ownership across the product lifecycle, from shaping roadmap priorities through to launch readiness and continuous improvement. The successful candidate will work closely with technical, clinical, quality and commercial teams to turn market and user needs into well-defined product requirements. The role suits someone who can balance customer value, technical feasibility and regulatory expectations in a highly regulated software environment. Role outline • Define and maintain the roadmap for AI and workflow products, ensuring alignment with business goals and customer needs., • Translate market insight, clinical feedback and user requirements into clear product plans and specifications., • Lead product planning across scope, priorities, milestones, dependencies and release activity., • Coordinate cross-functional teams including software, data, clinical, quality, regulatory, security, service and commercial stakeholders., • Own backlog priorities and support release governance, readiness decisions and change control activity., • Drive risk management across product delivery, including performance, compliance, cybersecurity, privacy and continuity considerations., • Support clinical evidence planning and regulatory submissions by ensuring product inputs and documentation are complete and fit for purpose., • Contribute to data governance activities relating to model development, monitoring and product performance., • Support business case development, budgeting and commercial planning for software and subscription-based offerings., • Help shape product positioning, internal communication and go-to-market readiness for new releases and enhancements., • Use customer feedback and post-release insight to improve usability, efficiency and workflow integration., • Lead stakeholder discussions, ensuring decisions, actions and risks are clearly captured and progressed. What they're looking for • Equivalent tenure and/or degree in a technical/scientific or business-related discipline; and ideally an advanced qualification in biomedical/computer science/data science/similar., • Good grasp of AI and Machine Learning concepts, including datasets, validation, performance measures, monitoring and risk considerations., • Previous track record of product management / Project Management within AI, MedTech oriented software/diagnostics/digital health and/or workflow oriented software products., • Strong understanding of Software as a Medical Device or other regulated healthcare software environments., • Experience working with cross-functional teams in complex product settings and influencing senior stakeholders., • Knowledge of clinical evidence generation and regulated development standards (ISO / IEC)., • Familiarity with interoperability and workflow integration, such as DICOM, HL7, FHIR, PACS or EHR-linked environments., • Understanding of Cloud or Software as a Service based product delivery models., • Comfort working in a fast-paced setting where product decisions require both strategic thinking and hands-on delivery focus. This is a strong opportunity for a product management professional who wants to influence the direction of AI-led software in a role that combines strategy, delivery and stakeholder leadership. If you enjoy working at the intersection of innovation, regulated software and value, this position offers real scope to make an impact. Apply now with your latest CV for immediate consideration.

Systems Research Engineer - Distributed Systems / C++ We are currently partnered with a globally leading research centre in the UK looking to expand their team with a Systems Research Engineer. This is an incredibly high calibre team reshaping how large-scale models are trained and served through next-generation AI-native infrastructure and "super-node" clusters. This is a permanent opportunity based onsite in Edinburgh. Key responsibilities for this Systems Research Engineer position: • Architect and implement distributed system components for AI workloads across CPU, GPU, and NPU clusters., • Conduct in-depth profiling and performance tuning of inference pipelines, focusing on KV cache management., • Develop low-latency, fault-tolerant AI serving frameworks using vLLM, Ray Serve, and PyTorch Distributed., • Research and prototype novel techniques for cache sharing, data locality, and resource orchestration., • Translate innovative designs into publishable contributions at top-tier venues (e.g., OSDI, NSDI, MLSys)., • Collaborate with global research teams to drive the internal adoption of novel system architectures. Key Requirements: • Preferably a PhD, at minimum a masters degree, in Computer Science, distributed systems, or related field., • Strong knowledge of Distributed Systems, OS internals, and Machine Learning systems architecture., • Hands-on experience with LLM serving frameworks (vLLM, Ray Serve, TensorRT-LLM, or TGI)., • Proficiency in C/C++ for systems development and Python for research prototyping., • Solid grounding in distributed algorithms, load balancing, and state management., • Proven ability to conduct systems research, ideally evidenced by publications in top-tier conferences. Keywords: Systems Research Engineer / Distributed Systems / AI Infrastructure / LLM Serving / vLLM / KV Cache / Performance Optimization / Machine Learning Systems / C++ / Python / Ray Serve / PyTorch Distributed / Cloud Infrastructure If you are interested in this Systems Research Engineer position, please send a copy of your CV to ts@eu-recruit.com By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice _

Key Responsibilities • Design, develop, and deploy AI/ML solutions using Python and modern ML frameworks., • Build and optimize Generative AI applications leveraging LLMs such as GPT, Claude, and Llama., • Develop and maintain RAG-based systems using vector databases such as Pinecone, Weaviate, or ChromaDB., • Implement NLP pipelines for document intelligence, entity extraction, text classification, semantic search, and conversational AI., • Fine-tune, evaluate, and monitor machine learning and deep learning models., • Build scalable MLOps pipelines for model deployment, monitoring, versioning, and governance., • Collaborate with data scientists, architects, product owners, and business stakeholders to deliver AI-driven solutions., • Implement AI governance, model explainability, bias detection, and compliance controls., • Integrate AI solutions with enterprise systems through APIs and microservices. Required Skills • Strong programming skills in Python., • Experience with TensorFlow, PyTorch, Hugging Face, LangChain, and LlamaIndex., • Hands-on experience with LLMs, Generative AI, Prompt Engineering, and RAG architectures., • Experience with Vector Databases (Pinecone, Weaviate, ChromaDB)., • Strong understanding of NLP, Deep Learning, Transformers, and Machine Learning algorithms., • Experience with AWS SageMaker, Azure ML, or GCP Vertex AI., • Knowledge of Docker, Kubernetes, CI/CD, and MLOps practices., • Strong SQL and data engineering fundamentals.

Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming todays workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills theyve learned to improve productivity and measurable performance. In June 2022, we announced a $220 million Series D funding round co-led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post-money valuation of $1.7bn, the round makes us the UKs first EdTech unicorn. But we arent stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. Were building a world where tech skills unlock peoples potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. The Opportunity We are seeking a passionate and knowledgeable AI Workshop Lead with working knowledge in training, tuning, deploying, and monitoring classical and deep Machine Learning models. AI Workshop Lead you will be responsible for delivering high-quality curriculum and mentoring learners, guiding them professionally and will ...

Trainee Data Scientist - No Experience RequiredAre you looking to kick-start a new career as a Data Scientist?We are recruiting for companies who are looking to employ our Data Science Traineeship graduates to keep up with their growth. The best part is you will not need any previous experience as full training will be provided. You will also have the reassurance of a job guarantee (£25K-£45K) within 20 miles of your location upon completion. Whether you are working full time, part-time or unemployed, this package has the flexibility to be completed at a pace that suits you.The traineeship is completed in 4 easy steps, you can be placed into your first role in as little as 6-12 months: Step 1 - Full Data Science Career Training You will begin your data science journey by studying a selection of industry-recognized courses that will take you from beginner level all the way through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI, and much more. You will also complete mini projects to gain practical experience and test your skills while you study. Step 2 - CompTIA Data+ CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making. It teaches Data Mining, Vis...

Trainee AI Engineer - No Experience Needed! Ready to launch a future-proof career in AI - even if you have zero experience? We’re looking for ambitious individuals ready to break into the world of artificial intelligence and data science. Our industry-leading AI Traineeship is designed to take you from complete beginner to a highly employable Junior AI Engineer, with full training provided and a guaranteed job offer (£25K-£45K starting salary) within 20 miles of your location. Whether you're working full-time, part-time, or currently unemployed, our flexible, self-paced program allows you to train around your lifestyle and be job-ready in as little as 6-12 months. How it works - your journey to AI successStep 1: Discover AI Start your journey with our beginner-friendly mini-course bundle. Explore the fundamentals of AI through interactive videos, presentations, and quizzes - all accessible anytime, anywhere, through our easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build confidence and a strong portfolio as you learn. Step 3: Get Certified Prepare fo...

AI Engineer Placement Programme no experience needed From £45,000 to £75,000 per annum AI Trainee Engineer £45,000£75,000 Job Programme This is a self-funded programme that leads to employment, fees apply. Job GuaranteeComplete the programme and get a job, or get your course fees back. Location:UK Wide (Remote Opportunities Available) Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as afew weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification, • Training in Python, Machine Learning, and AI systems, • Hands-on projects using real-world AI tools and technologies, • Professional CV and LinkedIn support, • Interview preparation, • Dedicated recruitment support until placed, • Personalised 1-1 tutor support, • Hands-on projects to build your AI portfolio Flexible, affordable, achi...

In this role, you will contribute to the advancement of research and education in cybersecurity and AI security, while helping to shape the next generation of cybersecurity and AI professionals. With established strengths in cybersecurity, artificial intelligence, machine learning, and distributed s

A leading research organization in Edinburgh is offering a paid summer internship for undergraduate home students.This opportunity allows participants to gain hands-on experience in data science, artificial intelligence, and more.Interns will work on real-world research projects under supervision, d

Priority will be given to students belonging to an under-represented group in the area of Machine Learning, Computing Systems and Biomedical Innovation research as detailed on the below websites. Take the next step in your learning journey and gain research experience with our paidSummerinternship s

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

These roles are ideal for recent PhD graduates or exceptional BSc/MSc engineers looking to build research-driven engineering experience in areas such as operating systems, distributed systems, AI model serving, and machine learning infrastructure. Proficiency in C/C++, with additional experience in

Design, build, and maintain scalable data pipelines within Databricks and deploy machine learning models in production.

Training program for AI Engineer with job guarantee, covering Python, machine learning, and Azure AI fundamentals.

The Machine Learning Engineer will deploy, maintain, and optimize ML systems in a remote gaming and entertainment business, collaborating with data scientists and engineers.

Graduate Machine Learning Engineer needed for an AI company in Edinburgh, focusing on implementing AI/ML techniques and data analysis.

A Machine Learning Engineer will deploy, maintain and monitor machine learning models, optimize workflows, and integrate CI/CD pipelines.

Trainee AI Engineer - No Experience Needed! Ready to launch a future-proof career in AI - even if you have zero experience? We’re looking for ambitious individuals ready to break into the world of artificial intelligence and data science. Our industry-leading AI Traineeship is designed to take you from complete beginner to a highly employable Junior AI Engineer, with full training provided and a guaranteed job offer (£25K-£45K starting salary) within 20 miles of your location. Whether you're working full-time, part-time, or currently unemployed, our flexible, self-paced program allows you to train around your lifestyle and be job-ready in as little as 6-12 months. How it works - your journey to AI success Step 1: Discover AI Start your journey with our beginner-friendly mini-course bundle. Explore the fundamentals of AI through interactive videos, presentations, and quizzes - all accessible anytime, anywhere, through our easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build confidence and a strong portfolio as you learn. Step 3: Get Certified Prepare for and earn your Microsoft AI-900: Azure AI Fundamentals certification, an internationally recognised qualification that proves your knowledge and boosts your credibility with employers. Step 4: Real-World Projects Showcase your new skills with two industry-based, practical projects assigned by your personal tutor. These projects are designed to give you real, portfolio-worthy experience, making you stand out to employers from day one. Your guaranteed future After completing your training, you'll be placed in a Junior AI Engineer role with a guaranteed starting salary of £25K-£45K. We work with top employers across the UK to ensure you get matched with a role close to home. We guarantee a job offer upon completion or 100% of your course fees refunded. We’re proud to have helped over 1,000 people each year transform their careers. Explore our success stories on our website and see what your future could look like. At a one off cost of £990, or a deposit of £149 followed by 10 interest free monthly instalments of £124, this represents a great opportunity to start a rewarding career in Ai and have a real career ladder to start climbing. If you are not offered a role at the end of the training we will refund 100% of your course fees. Ready to future-proof your career? If you’re passionate about tech and ready to break into one of the fastest-growing industries in the world, apply now. One of our friendly advisors will be in touch to guide you through the next steps. ‘Please note that this is a training course and fees apply

Product Manager (AI & Workflow) - Near Edinburgh (Hybrid) - 90K plus Bonus Having placed a number of people into their teams ourselves, Lorien's long standing client based near Edinburgh - a leader in their industry with a growing and consistently award-winning product line making a huge difference around the globe - have asked us to help them in their searches for a Product Manager to lead the strategy, development and delivery of AI-enabled diagnostic software and workflow solutions. This is a senior individual contributor role with broad ownership across the product lifecycle, from shaping roadmap priorities through to launch readiness and continuous improvement. The successful candidate will work closely with technical, clinical, quality and commercial teams to turn market and user needs into well-defined product requirements. The role suits someone who can balance customer value, technical feasibility and regulatory expectations in a highly regulated software environment. Role outline Define and maintain the roadmap for AI and workflow products, ensuring alignment with business goals and customer needs. Translate market insight, clinical feedback and user requirements into clear product plans and specifications. Lead product planning across scope, priorities, milestones, dependencies and release activity. Coordinate cross-functional teams including software, data, clinical, quality, regulatory, security, service and commercial stakeholders. Own backlog priorities and support release governance, readiness decisions and change control activity. Drive risk management across product delivery, including performance, compliance, cybersecurity, privacy and continuity considerations. Support clinical evidence planning and regulatory submissions by ensuring product inputs and documentation are complete and fit for purpose. Contribute to data governance activities relating to model development, monitoring and product performance. Support business case development, budgeting and commercial planning for software and subscription-based offerings. Help shape product positioning, internal communication and go-to-market readiness for new releases and enhancements. Use customer feedback and post-release insight to improve usability, efficiency and workflow integration. Lead stakeholder discussions, ensuring decisions, actions and risks are clearly captured and progressed.What they're looking for Equivalent tenure and/or degree in a technical/scientific or business-related discipline; and ideally an advanced qualification in biomedical/computer science/data science/similar. Good grasp of AI and Machine Learning concepts, including datasets, validation, performance measures, monitoring and risk considerations. Previous track record of product management / Project Management within AI, MedTech oriented software/diagnostics/digital health and/or workflow oriented software products. Strong understanding of Software as a Medical Device or other regulated healthcare software environments. Experience working with cross-functional teams in complex product settings and influencing senior stakeholders. Knowledge of clinical evidence generation and regulated development standards (ISO / IEC). Familiarity with interoperability and workflow integration, such as DICOM, HL7, FHIR, PACS or EHR-linked environments. Understanding of Cloud or Software as a Service based product delivery models. Comfort working in a fast-paced setting where product decisions require both strategic thinking and hands-on delivery focus.This is a strong opportunity for a product management professional who wants to influence the direction of AI-led software in a role that combines strategy, delivery and stakeholder leadership. If you enjoy working at the intersection of innovation, regulated software and value, this position offers real scope to make an impact. Apply now with your latest CV for immediate consideration. Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy

Data Scientist Placement Programme - No Experience Required Our training will help you kick-start a new career as a Data Scientist. We are recruiting for companies who are looking to employ our Data Science Traineeship graduates to keep up with their growth. The best part is you will not need any previous experience as full training will be provided. You will also have the reassurance of a job guarantee within 20 miles of your location upon completion. Whether you are working full time, part-time or unemployed, this package has the flexibility to be completed at a pace that suits you. The traineeship is completed in 4 easy steps, you can be placed into your first role in as little as 6-12 months: Step 1 - Full Data Science Career Training You will begin your data science journey by studying a selection of industry-recognized courses that will take you from beginner level all the way through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI, and much more. You will also complete mini projects to gain practical experience and test your skills while you study. This step will fully prepare you for the professional projects that you will undertake in step 4 of this process. At the end of this step, you will complete a short online multiple-choice exam to showcase your understanding of the courses before moving on to step 2. Step 2 - CompTIA Data+ CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making. It teaches Data Mining, Visualization, Data Governance & Data Analytics. In any industry, gaining official certifications is very important in the recruitment process. Therefore, this globally recognized certification will enhance your CV and make you stand out from the crowd. Step 3 - Official Exam The CompTIA Data+ exam will certify that you have knowledge and skills required to transform business requirements in support of data-driven decisions through mining and manipulating data, applying basic statistical methods, and analysing complex datasets while adhering to governance and quality standards. The exam is 90 minutes long and can be sat either in your local testing centre or online. Step 4 - Practical Projects Now that you have completed your theory training and official exams, you will be assigned 2 practical projects by your tutor. The projects are the most important part of the traineeship as it will showcase to employers that you have skills required to work in a data science role. The projects will use real world scenarios where you be utilising all of the skill that you have learned. Whilst you are progressing through the projects, you will have the ongoing support from your personal tutor. Once both projects have been completed and given the final sign off, you will have completed the traineeship and will be ready to move onto the recruitment stage. Your Data Science Role Once you have completed all of the mandatory training, which includes the online courses, practical projects and building your own portfolio, we will place you into a Data Scientist role, where you will be guaranteed a great starting salary. We have partnered with a number of large organisations strategically located throughout the UK, providing a nationwide reach of jobs for our candidates. At a one off cost of £1495, or a deposit of £212 followed by 10 interest free monthly instalments of £148, this represents a great opportunity to start a rewarding career in IT and have a real career ladder to start climbing. If you are not offered a role at the end of the training we will refund 100% of your course fees. Read through the information? Passionate about starting a career in data science? Apply now and one of our friendly advisors will be in touch. ‘Please note that this is a training course and fees apply

Experience in commercial machine learning research and development. Experience working with data, training and evaluating machine learning models. Previously registered audio machine learning patents.

Lead the development of machine learning engineering capability across the business. Lead Machine Learning Engineer. A professional services firm is looking for a Lead Machine Learning Engineer to join its growing data and AI team.

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,

Machine Learning / Software Engineering. They’re hiring a Senior Machine Learning Engineer to build state‑of‑the‑art generative video systems, working across everything from diffusion models to neural rendering.

AI Training task skills and verifiable professional experience as a Machine Learning Specialist (e. Joining our platform as a Prolific participant will give you the chance to influence the AI models of the future using professional machine learning expertise. AI Training - Machine Learning Specialis

We are searching for a talented Applied Machine Learning Scientist to join our engineering team as we continue to expand our data science efforts. We utilize the latest technologies to solve challenges in traffic, data storage, machine learning, and scalability. Have a comprehensive understanding of

You will join the Machine Learning Growth Personalisation team where you will work in a cross‑functional squad focused on using ML to personalise the Cleo product. Senior Machine Learning Engineers at Cleo work on building novel solutions to real‑world problems. Ultimately, we’re looking for a

At Cresta, we are dedicated to building state-of-the-art Machine Learning systems that power real-time, intelligent customer interactions. As a Senior Machine Learning Engineer, you will be at the forefront of applying modern ML and speech/NLP techniques to production systems. Develop, train, and de

Strong foundations in machine learning and modern neural architectures. As a Member of Technical Staff, Machine Learning, you will build core ML components. You will work on real production systems from day one, learning how large-scale ML behaves outside of research settings.

As Technical Lead, Machine Learning, you own the execution layer of A1’s intelligence. Make pragmatic trade-offs and ship improvements quickly, learning from real usage.

Postdoctoral Researcher on Machine Learning in Radio Interferometry. We are seeking to employ a talented and motivated researcher to join an international collaboration on a joint ESO/SKAO‑funded project to develop deep‑learning‑based image reconstruction techniques for radio interferometry.

Research Fellow in Computational Modelling & Machine Learning for Respiratory Research. The framework will leverage disease progression modelling, unsupervised/semi-supervised learning, and transfer learning to disentangle contributions of individual pathologies to non-specific biomarkers. Knowledge

As a Senior Member of Technical Staff, Machine Learning, you are an independent owner of critical ML subsystems in production. We make decisions collectively, move at rapid speed, striking a balance between shipping high quality work and learning.

Familiarity with deep learning frameworks such as TensorFlow and PyTorch, and experience working with portable graph formats such as ONNX. Ideal candidates will have direct experience with MLIR based compilers or other multilevel IR stacks, especially in the context of graph based deep learning work

We’re looking for a hands‑on and motivated Senior Engineering Manager for Applied Machine Learning & Research to support the development and delivery of machine learning systems at Super Technologies. Manage and prioritise machine learning projects to align with business goals and objectives. Co