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Job title: Senior Machine Learning Engineer Locations: Manchester or Haywards Heath (hybrid working) Role overview Markerstudy Group are looking for a Senior Machine Learning Engineer to help take leading-edge and novel insurance risk modelling and pricing techniques and participate in creating fully automated machine learning pipelines. Markerstudy is a leading provider of private insurance in the UK, insuring around 5% of the private cars on the UK roads, 20% of commercial vehicles and over 30% of motorcycles in total premium levels of circa £1 billion. Most of Markerstudy’s business is written as the insurance pricing provider behind household names such as Tesco, Sainsbury’s, O2, Halifax, AA, Saga and Lloyds Bank to list a few. As a Senior Machine Learning Engineer, you will use your skills to: • Tune machine learning methods to best leverage our state-of-the-art processing capabilities, • Deploy and maintain machine learning methods in a DevOps / MLOps based machine learning environment, • Create robust high-quality code using test-driven development (TDD) techniques and adhering to the SOLID coding standards Your work will enable sustained improvements to products, prices and processes giving Markerstudy a critical advantage in the increasingly competitive insurance market by minimizing the development to deployment and monitoring stages of the ML lifecycle through automation. You will also be responsible for refining, tuning, deploying and maintaining machine learning methods in our machine learning pipeline by using robust test-driven development (TDD) approaches to maximise performance and robustness, and improve company performance and our customer-centric offerings across Motor, Home and Commercial Lines businesses. The successful candidate will also enjoy opportunities for leading, coaching, and mentoring more junior ML Engineers. Key Responsibilities: • Report and communicate with Senior Stakeholders, such as the Head of Data Science and Machine Learning and Director of Technical Underwriting, • Propose, proof-of-concept, develop, and deliver novel machine learning processes that automate current manual processes, and leverage DevOps and MLOps software., • Work in a collaborative environment with data science to help deploy machine learning methods that are state-of-the-art, robust, and future extensible., • Tune machine learning methods for optimal performance., • Deploy and maintain machine learning methods in our machine learning pipeline using robust test-driven development (TDD) coding approaches, using the SOLID software development principles., • Actively contribute to creating a culture of coding and data excellence, • Implement efficient solutions across a range of markets, including Private Motor, Commercial Vehicle, Bike, Taxi, and Home, • Lead and mentor junior machine learning engineers and share best practices Key Skills and Experience: • Previous experience in tuning and deploying machine learning methods, • Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering, • Experience in DevOps and Azure ML, or other MLOps and ML Lifecycle technology stacks, such as AWS, Databricks, Google Cloud, etc., • Experience with deploying services in Docker and Kubernetes, • Experience in creating production grade coding and SOLID programming principles, including test-driven development (TDD) approaches, • Experience in programming languages (e.g. Python, PySpark, R, SAS, SQL), • Experience in source-control software, e.g., GitHub, • Proficient at communicating results in a concise manner both verbally and written, • Experience in data and model monitoring is a plus Behaviours: • A high level of professional/academic excellence, educated to at least a master’s level in a STEM-based or DS / ML / AI / or mathematical discipline, • Collaborative and team player, • Logical thinker with a professional and positive attitude, • Passion to innovate and improve processes

Job title: Senior Machine Learning Engineer Locations: Manchester or Haywards Heath (hybrid working) Role overview Markerstudy Group are looking for a Senior Machine Learning Engineer to help take leading-edge and novel insurance risk modelling and pricing techniques and participate in creating fully automated machine learning pipelines. Markerstudy is a leading provider of private insurance in th... ZIPC1_UKTJ

Senior Machine Learning Engineer, Structural Biology | Pharma/BioTech | Series A - Drug discovery B2B Platform | EU Remote | | Salary Up to £130,000K, plus early equity+benefits The Client: A leading organization in the drug discovery field is currently looking for a client facing Senior Machine Learning Engineer to drive the development of foundational models that directly impact real-world drug discovery workflows. This hands-on, high-impact role offers the opportunity to advance the application of foundational models to complex structural biology challenges. The successful candidate will work closely with the leadership team, serving as the technical authority on machine learning modeling, architecture, and experimentation in this domain. While this role does not involve people management, the candidate will be expected to provide mentorship and guidance to engineers and researchers on technical content. The ideal candidate brings deep expertise in training and deploying state-of-the-art models for protein structure prediction. Beyond technical proficiency, you must understand how these models integrate into broader drug discovery pipelines and possess the strategic mindset needed to break down complex problems into actionable, impactful ML solution Requirements for the Senior Machine Learning Engineer, Structural Biology | Pharma/BioTech | Series A - Drug discovery B2B Platform | EU Remote | | Salary Up to £130,000K, plus early equity+benefits • Deep Technical Expertise: Proven experience building and training contemporary models (e.g., AlphaFold, OpenFold, Boltz) at scale in a production environment, • A strong track record of applying ML to real-world protein structure prediction or drug discovery problems., • Comfortable in a fast-paced startup environment, with the ability to break down complex technical problems into impactful ML systems., • Experience in Federated Learning, privacy-preserving ML, or a portfolio of publications in top-tier journals/conferences like NeurIPS, ICML, or Nature Methods, • Work with our customers and academic partners to define data, preprocessing, selection, and benchmarking strategies for novel training tasks involving protein structures, complexes, and multimodal biological data, • Carry out case-studies associated with the above, providing scientific and technical expertise to our customers. You will be involved in the full project pipeline, from scoping through to results delivery and dissemination. Responsiblities of the Senior Machine Learning Engineer, Structural Biology | Pharma/BioTech | Series A - Drug discovery B2B Platform | EU Remote | | Salary Up to £130,000K, plus early equity+benefits • Advance the state-of-the-art by fine-tuning and customizing foundational architectures such as OpenFold, ESMFold, and Boltz-2 for specialized structural biology challenges., • Architect model extensions tailored for binding affinity and protein complex prediction, overseeing everything from data distillation to rigorous benchmarking., • Partner with leading academic and industry stakeholders to engineer data selection and preprocessing strategies for complex, multimodal biological datasets., • Lead comprehensive technical case studies, managing the entire lifecycle from initial project scoping to the final dissemination of results., • Develop and sustain high-scale ML pipelines that support efficient training, inference, and production-grade deployment, • Work across internal teams to ensure all model development is anchored in solving genuine drug discovery hurdles., • Drive external impact through high-quality open-source contributions and scientific publications. Remuneration: • Fully Remote Working Culture, • Up to £160,000 Base Salary, • Attractive Stock Options, • B2B & Full time employee options, • Flexible hours + - 3 hours of CET time zone If you think you are a good match for the Machine Learning Engineer role, ping us over your CV and we will give you a call if we think you are a good match!

You will: • Work with a close team of passionate GPU architects with a relentless focus on efficiency, • Understand industry trends and their impact on the GPU, • Communicate with other stakeholders to gather new ideas and requirements for our GPUs, • Be responsible for the investigation, specification and delivery of detailed, architectural feature specifications, • Perform deep analysis in order to produce solutions that meet the required power, performance, area and bandwidth requirements., • Work with the research group to map novel algorithms to efficient implementations, • Work with the modelling team to explore and evaluate new ideas and produce performance targets, • Work with the product team to define a forward-looking technology roadmap that progresses in PPA and features every generation, • Assist the implementation team through design and verification, • Work with the performance team to review data and validate the power, performance, area and bandwidth of the completed implementations, • Participate in engineering reviews and recommend improvements, • Have the opportunity to influence and advance our long-term technology roadmap, • Liaise with key customers and industry standards bodies (such as Khronos) where required About you Committed to making your customers, stakeholders and colleagues successful, you’re an excellent communicator, listener and collaborator who builds trusted partnerships by delivering what you say, when you say. You’re curious, solutions orientated and a world-class problem solver who constantly seeks opportunities to innovate and achieve the best possible outcome to the highest imaginable standard. You'll have: • Experience with GPU architecture or similarly large, complex systems, • A good understanding of modern 3D graphics and/or compute APIs, such as Vulkan, D3D12 and OpenCL, • An understanding of digital ASIC design methodologies and constraints, • The ability to plan, estimate and track your own work, • Experience in independently driving architecture exploration activities that conclude with tangible and appropriate feature specifications, • An understanding of the design and verification challenges in order to make effective trade-offs to maximise engineering ROI, • The skill to clearly communicate technical issues and justify decisions to various audiences

Calling all Commissioning and Qualification Engineers who have worked on high end capital equipment within the Pharma, Cosmetics or Food and Beverage industry. I want to speak to you about a critical role. Our client who supplies reference level process manufacturing equipment from their European principal suppliers to top tier pharmaceutical manufacturers in the UK and Ireland are looking to appoint a highly skilled and experienced Commissioning Engineer to work on the high profile projects. The projects can range from low complexity modifications to larger capital equipment contracts which are in the range of £250k-£2m and typically have a 2month design phase, 4month build phase and a 5-12 month installation, testing and qualification stage. As part of the Operations Team the C&Q Engineer will provide pre-delivery testing, installation, re-assembly, start up, commissioning, IQOQ, cycle development, novel project works and breakdown support in line with contractual commitments. The role is site based and involves frequent travel and stays away. Our client are technical experts in their field and this customer facing hands on technical role is crucial to delivering compliant projects to agreed scope and timelines. Key Attributes • Excellent written and spoken English & communication skills, Excellent customer handling, planning and organisational skills, • An engineering or technology qualification (degree or equivalent), • Must have an analytical way of thinking and understand how process equipment works and interacts with its environment., • Must like the challenge of working with bespoke equipment where bugs are not all found before delivery and where commissioning could be seen as the final part of the design-set-up of customised plant. Therefore, the operation of all our equipment needs to be understood from core principles rather than reading from a manual or work repetition., • High attention to detail with the ability to pre-empt problems and seek solutions, • Must have a good understanding of automation/controls technology and mechanical/electrical engineering. Knowledge of sterile process technology and pharmaceutical industry would be useful., • Minimum 5 years’ experience in similar site role., • Must be able to demonstrate proficiency with commonly used computer programs. These include MS Windows, MS Word and MS Excel, • Able to work effectively and efficiently autonomously whilst being an integral part of a team, • Frequent travel and stays away of multiple consecutive weeks are a fundamental element of the role. Normally travel will be within the UK and Ireland but occasional travel to elsewhere in Europe can be expected, • Must have a flexible and adaptive attitude and be able to work on own initiative, sometimes under pressure, • Have a full and clean driving licence, • Hold a valid passport for travel within Europe Job Description Role Reporting to the Technical Manager and working closely with the Project team and Technology SME’s the C&Q Engineer in engaged with the installation, commissioning, testing, optimisation and validation of process equipment to make sure it is functioning correctly and produces the expected results. In doing so the C&Q engineer brings an item of equipment or a system to the point at which it can be used most effectively, the C&Q engineer must therefore possess a thorough understanding of the equipment design, its intended use and what Steritech are committed to provide. Primary: (in no particular order) • Provide installation, re-assembly, start up, commissioning, IQOQ, cycle development, novel project works and breakdown support in line with contractual commitments and to a standard consistent with the high quality of the equipment and services our client supply, representing the company in a professional and dutiful manner at all times., • Role specific administration such as reporting, invoicing, expenses, and time sheets, • Effective communications to our customers, internally at our client and with their suppliers., • Proper and conscientious management when in control of our clients equipment, including test equipment, computer equipment etc., • As requested by management be an active contributor in new equipment design qualification process discussions, • When requested by management support colleagues in meetings where expertise/experience can be beneficial e.g., Risk Assessment, FMECA, HAZOP and RCA, • In the pursuit of site activities be a front-line interface with principal supplier automation, engineering and process departments. Disseminate information as required, • Provision of Technical Support to both to customers and internally to colleagues, • Support the wider operations teams through the provision of routine services as and when requested e.g., equipment maintenance, calibration and technical intervention services Secondary: (in no particular order) • Train and gain experience in the equipment and services our client offers, plus the market and expectations of our customers., • Contribute to other departments initiatives (technical research, training preparation and/or delivery, special project management, documentation improvements, technical report preparation etc.), • Any other tasks as may be reasonably required.

Fire Engineer or Senior Fire Engineer Glasgow, Bristol, Manchester or London Competitive salary + benefits We have an exciting opening for a Fire Engineer or Senior Fire Engineer to join our firm in our Glasgow, Bristol, Manchester or London offices. Hoare Lea is a human-centric and planet-conscious engineering consultancy. We offer intelligent and sustainable solutions to complex design challenges for the built environment throughout the UK and further afield. We provide a wide range of engineering and consultancy services, including acoustics, air quality, building services (MEP), fire, lighting, security and sustainability to name but a few. Together, our highly skilled teams use technical expertise and problem-solving skills to bring buildings to life. We ensure that whatever the building, its design is outstanding, and its operations meet the needs of the communities it serves. We are as committed to providing an environment where everyone can realise their unique potential. So, in joining Hoare Lea, you will experience a business that enriches your knowledge, supports your wellbeing, and welcomes your individuality. You’ll have the opportunity to participate in our 9-day fortnight scheme, thriving community groups, varied social and networking events, and extensive professional and technical development schemes. We also offer an extensive benefits package, including private medical cover, an electric vehicle salary sacrifice scheme, stock options, and 25 days of annual leave (increasing with service), alongside flexible and hybrid working. Hoare Lea’s Fire Engineering group is a leading team of experienced fire safety specialists, many Chartered through the Institution of Fire Engineers. As part of one of the UK’s largest building engineering consultancies we collaborate with top engineers, access advanced technical resources, and work on major, high‑profile projects—while also delivering standalone fire engineering commissions and maintaining long‑term client relationships. Notable projects include Heathrow Terminal 2, Doha Metro, the £1bn Elephant & Castle redevelopment, the ExCeL extension, the Royal Hospital for Children and Young Persons (Edinburgh), seven of Manchester’s ten tallest buildings (including the UK’s tallest residential tower), several major UK airport terminals and two World Cup stadia. We invest heavily in research and testing—covering computational modelling, emerging risks and novel techniques—and recently led two of the world’s largest CLT compartment fire tests to validate a sustainable timber office design. Training and professional development are central to our culture: weekly internal sessions, regular away‑days and access to external events support career growth and CEng attainment. Our team’s diverse background includes ex‑fire service, building control and specialists in physics, mechanical/chemical engineering, materials science and forensics. We are active in SFPE, the Smoke Control Association, BSI and the Institution of Fire Engineers. Why join us? • World‑class fire engineering on high‑quality, varied projects., • Strong client repeat business and long‑term relationships., • Exceptional training and a clear route to Chartered status., • Flexible working and generous benefits (including a 9‑day fortnight option)., • A supportive, inclusive team culture with regular socials. About the Role Join Hoare Lea’s Fire Engineering team to deliver fire safety design for buildings across the UK (occasional international projects). We work as part of multi‑disciplinary project teams and maintain a significant portfolio of long‑term external clients. Our work requires strong technical knowledge of UK regulations and design guidance, excellent collaboration with other construction professionals, and clear, timely communication across project teams. Key responsibilities • Deliver and/or lead fire safety design outputs: strategies, calculations, reports and drawings that comply with UK regulations and client requirements., • Coordinate fire requirements with multidisciplinary teams to produce integrated designs., • Attend and represent the fire team at design workshops, client meetings, site visits and design team meetings; communicate progress and act on feedback., • Apply fire‑modelling and analysis tools (evacuation, smoke, heat‑radiation, structural fire) to support design decisions., • Travel to client or project sites in the UK and occasionally internationally as required., • Ensure clear documentation and timely delivery of work while maintaining quality and risk awareness. Senior‑level responsibilities (for Senior Engineer applicants) • Lead technical delivery on medium to large projects and act as primary client contact., • Provide technical review, quality assurance and sign‑off of junior engineers’ work; mentor and develop team members., • Manage stakeholder expectations, workloads and project risks; contribute to business development and repeat client relationships., • Use advanced modelling/analysis to resolve complex design challenges. About you • Consultancy experience in fire engineering or a closely related fire safety role., • Degree or equivalent qualification in Engineering, Building Services, Architecture, Physics, Maths or similar., • Working knowledge of fire‑modelling/analysis software., • Strong technical understanding of fire safety principles and UK design guidance., • Excellent verbal and written communication and a collaborative approach to teamworking., • Good organisational skills, ability to prioritise and deliver to tight deadlines. Desirable • Chartered status (CEng) or working towards it., • Active membership of relevant professional bodies (e.g., IFE, SFPE)., • Experience of site inspections, stakeholder liaison and business development., • Sector experience in residential, healthcare, stadia or timber structures (if relevant). How to apply To apply simply complete a CV profile and submit your application, or for further information please contact jessicamartin@hoarelea.com. If shortlisted, one of our recruitment team will be in touch to arrange a introductory call (about 30 minutes) to discuss the role and your experience in more detail. From there, successful candidates will be invited to attend a panel interview, either via Microsoft Teams or in person at one of our offices. Adjustments and accommodations If there are adjustments or accommodations that we can put in place to help you participate and give your best at any stage of the recruitment process (whether relating to disability, neurodivergence or anything else) please let us know. Data privacy We have updated our terms and conditions for candidates, click here to find out more. Recruitment agencies We have a Preferred Supplier List of trusted partners who assist us when required. We do not acknowledge speculative CVs or unsolicited candidate introductions from agencies not on the list.

Book your next career with Tradewind Recruitment- English Supply Teachers Wanted in Rochdale and Oldham! Are you a qualified English teacher with a love for language, a passion for punctuation, and the impetus for inspiring young minds? Tradewind Recruitment is looking for literary legends and grammar gurus to take on flexible supply roles in Oldham and Rochdale. Whether you're ready to pen a new adventure or just want to put a comma in your full-time career, we've got just the role for you. The Perks of Supply Teaching with Tradewind - It's a Real Page Turner: • Competitive Pay Rates - Your expertise deserves more than just a footnote - we make sure your pay is worthy of a headline., • Flexible Work-Life Balance - Whether you're after a full-length novel or the odd short story, we've got shifts to suit every chapter of life., • Regular Local Work - if you are a literature enthusiast in Littleborough, an avid reader in Royton, a budding writer in Wardle or a fiction fan in Failsworth we have the local schools for you., • No Planning or Marking - Forget the endless essays - just turn up, deliver a brilliant lesson, and close the book at the end of the day., • No Take-Home Work - When the final bell rings, so does your working day. No more correcting papers over a cuppa., • Opportunities for Permanent Roles - Many of our supply positions lead to long-term roles - your short story could become a saga!, • Direct Payroll Team - No middlemen or mysterious margins - we pay you directly, clearly, and on time., • Free CPD Courses - From literacy interventions to Shakespearean strategies, choose from over 2,500 courses with The National College to keep your skills as sharp as your students' similes., • Easy Timesheet Management - Our online portal is as straightforward as a well-punctuated sentence. No faffing. We're Looking For: • Qualified Teacher Status (QTS or QTLS), • An Enhanced DBS Disclosure (don't worry - we can help with this), • Overseas Police Checks (if applicable) and solid references, • A full CV with your education and employment history (with any plot holes explained), • Legal right to work full-time in the UK Whether you're a Shakespeare superfan, a spelling savant, or just fantastic at getting students to fall in love with language and literature, we'd love to help you find your next role. Give us a call today on or email - because your next great teaching story could begin right here.

Vulnerability Researcher - Manchester, UK • Base salary up to £70,000 depending on experience, • Hybrid working, average 3 days onsite per week, • Active SC clearance required minimum About the client Our client is a highly respected UK organisation delivering advanced cyber and security research for critical national programmes. They invest heavily in innovation, technical excellence, and long-term capability building. Due to continued growth in specialist research projects, they are now looking to appoint an experienced Vulnerability Researcher. The benefits • Compressed working week option (4 or 4.5 days), • Annual bonus scheme, • Enhanced family friendly and sick pay policies, • Access to flexible benefits including health and wellbeing options, • Additional cash bonus opportunities The Vulnerability Researcher role As a Vulnerability Researcher, you will carry out deep technical research into complex software systems, identifying vulnerabilities and exploring novel attack techniques across modern platforms. You will work closely with multidisciplinary teams to design prototypes, test hypotheses, and document findings that directly influence future cyber capabilities. Key responsibilities include: • Reverse engineering of software binaries and applications, • Conducting vulnerability research across operating systems, applications, and network services, • Developing proof of concepts and exploits to demonstrate impact, • Analysing system behaviour, APIs, and network protocols to uncover security weaknesses, • Fuzzing and dynamic analysis of software to identify unknown vulnerabilities, • Contributing to tool development to support vulnerability discovery and analysis, • Producing clear technical documentation for a range of stakeholders Vulnerability Researcher essential skills • Previous experience in software vulnerability research or exploit development, • Solid programming skills with C, C++, Python, or similar, • Experience with reverse engineering tools such as Ghidra, IDA Pro, or Binary Ninja, • Understanding of operating system internals, particularly Linux or Windows, • Experience with debugging tools and techniques Desirable experience • Experience in exploit mitigation bypass techniques (ASLR, DEP, sandbox escape), • Familiarity with fuzzing frameworks and automated testing approaches, • Exposure to network protocols and distributed systems, • Scripting or automation experience for vulnerability discovery workflows, • Knowledge of secure software development practices, • Experience working in research led or highly technical environments Key skills Vulnerability Researcher, software security, reverse engineering, exploit development, Linux, Windows internals, fuzzing, C, C++, Python, cyber research, NSD

Principal or Associate Fire Engineer Glasgow, Bristol, Manchester or London Competitive salary + benefits We have an exciting opening for a Principal or Associate Fire Engineer to join our firm in our Glasgow, Bristol, Manchester or London offices. About us Hoare Lea is a human-centric and planet-conscious engineering consultancy. We offer intelligent and sustainable solutions to complex design challenges for the built environment throughout the UK and further afield. We provide a wide range of engineering and consultancy services, including acoustics, air quality, building services (MEP), fire, lighting, security and sustainability to name but a few. Together, our highly skilled teams use technical expertise and problem-solving skills to bring buildings to life. We ensure that whatever the building, its design is outstanding, and its operations meet the needs of the communities it serves. We are as committed to providing an environment where everyone can realise their unique potential. So, in joining Hoare Lea, you will experience a business that enriches your knowledge, supports your wellbeing, and welcomes your individuality. You’ll have the opportunity to participate in our 9-day fortnight scheme, thriving community groups, varied social and networking events, and extensive professional and technical development schemes. We also offer an extensive benefits package, including private medical cover, an electric vehicle salary sacrifice scheme, stock options, and 25 days of annual leave (increasing with service), alongside flexible and hybrid working. Hoare Lea’s Fire Engineering group is a leading team of experienced fire safety specialists, many Chartered through the Institution of Fire Engineers. As part of one of the UK’s largest building engineering consultancies we collaborate with top engineers, access advanced technical resources, and work on major, high‑profile projects—while also delivering standalone fire engineering commissions and maintaining long‑term client relationships. Notable projects include Heathrow Terminal 2, Doha Metro, the £1bn Elephant & Castle redevelopment, the ExCeL extension, the Royal Hospital for Children and Young Persons (Edinburgh), seven of Manchester’s ten tallest buildings (including the UK’s tallest residential tower), several major UK airport terminals and two World Cup stadia. We invest heavily in research and testing—covering computational modelling, emerging risks and novel techniques—and recently led two of the world’s largest CLT compartment fire tests to validate a sustainable timber office design. Training and professional development are central to our culture: weekly internal sessions, regular away‑days and access to external events support career growth and CEng attainment. Our team’s diverse background includes ex‑fire service, building control and specialists in physics, mechanical/chemical engineering, materials science and forensics. We are active in SFPE, the Smoke Control Association, BSI and the Institution of Fire Engineers. Why join us? • World‑class fire engineering on high‑quality, varied projects., • Strong client repeat business and long‑term relationships., • Exceptional training and a clear route to Chartered status., • Flexible working and generous benefits (including a 9‑day fortnight option)., • A supportive, inclusive team culture with regular socials. About the role • Join Hoare Lea’s Fire Engineering team to deliver fire safety design for buildings across the UK (with occasional international projects)., • Collaborate within multi‑disciplinary project teams and manage long‑term external client relationships., • Apply detailed knowledge of UK fire regulations and design guidance to produce compliant, practical solutions., • Integrate fire engineering requirements with other construction disciplines to achieve coordinated designs., • Maintain clear, timely communication across teams, incorporating and acting on feedback., • Represent the fire team at design workshops, client meetings and site visits., • Travel to client sites and project locations in the UK, and occasionally abroad, as project needs dictate., • Use fire‑modelling and analysis tools (evacuation, smoke, heat radiation and structural fire models) to support design decisions. What we are looking for • Proven experience in a fire engineering consultancy or related fire safety role., • Relevant degree or equivalent qualification in Engineering, Building Services, Architecture, Physics, Maths or similar, with strong technical knowledge in fire safety design., • Practical experience with fire modelling / analysis software., • Excellent verbal and written communication skills and a collaborative approach to team working., • Strong organisational skills, ability to prioritise and deliver to tight deadlines., • Professionalism, attention to detail and commitment to high‑quality client service. How to apply To apply simply complete a CV profile and submit your application, or for further information please contact jessicamartin@hoarelea.com. If shortlisted, one of our recruitment team will be in touch to arrange a introductory call (about 30 minutes) to discuss the role and your experience in more detail. From there, successful candidates will be invited to attend a panel interview, either via Microsoft Teams or in person at one of our offices. Adjustments and accommodations If there are adjustments or accommodations that we can put in place to help you participate and give your best at any stage of the recruitment process (whether relating to disability, neurodivergence or anything else) please let us know. Data privacy We have updated our terms and conditions for candidates, click here to find out more. Recruitment agencies We have a Preferred Supplier List of trusted partners who assist us when required. We do not acknowledge speculative CVs or unsolicited candidate introductions from agencies not on the list.

Senior Network Engineer Glasgow, UK - Hybrid £75,000 - 95,000 - Depending on experience & qualifications We are proud to be supporting a fast-growing technology company at the forefront of satellite and cloud infrastructure in their search for a Senior Network Engineer. Because this engagement is sensitive, we'll share the client's name with candidates at the shortlisting stage. THE OPPORTUNITY Our client is building a next-generation network connecting satellites, ground stations, and cloud infrastructure. Operating across dynamic, intermittent links, their platform is designed to deliver data reliably into cloud-based workloads, a technically complex challenge requiring deep networking expertise. This role sits at the heart of their edge infrastructure, the servers and network devices deployed on-site at antenna locations to receive, demodulate, and transport satellite data to the cloud. It is a hands-on, high-ownership position spanning routing, overlay networking, edge systems, and cloud connectivity. KEY RESPONSIBILITIES Network Design & Architecture • Design L3 network topology across satellite, ground, and cloud environments, • Define IP addressing schemes, segmentation, and routing domains, • Model connectivity patterns and failure scenarios Routing & Connectivity • Implement and operate dynamic routing protocols, • Design route advertisement, filtering, and failover strategies, • Handle intermittent and flapping connectivity gracefully Overlay & Secure Networking • Build secure multi-hop paths with strong encryption and isolation, • Implement secure tunnel configurations (WireGuard / IPsec), • Define and enforce SSH access policies, firewall rules, and least-privilege communication Automation & Infrastructure • Develop automation pipelines using Terraform and Ansible, • Support scalable rollout and configuration management across distributed sites Operational Integration • Align networking behaviour with satellite scheduling and operational windows, • Design safe state transitions and failover scenarios, • Improve observability, monitoring, and alerting across the stack WHAT WE'RE LOOKING FOR Our client is seeking a Senior Network Engineer with strong technical fundamentals and a genuine passion for solving complex infrastructure challenges. You'll be comfortable working across architecture, implementation, and troubleshooting, and you take strong ownership of everything you touch. Essential Experience • Advanced-level experience with IP networking and routing, • Hands-on BGP experience covering design, operation, and troubleshooting; familiarity with distance-vector protocols, • Solid Linux networking skills, including VLANs, MTU, TCP/IP, and complex NAT, • Proven experience designing and operating VPNs and tunnelling technologies in distributed environments (WireGuard, StrongSwan, GRE + IPsec), • AWS networking expertise: VPC, TGW, Cloud WAN, VPN, and edge or hybrid networking, • Strong grasp of overlay vs underlay networking principles, • Extensive infrastructure automation experience with Terraform, Ansible, or equivalent, • Scripting or coding ability in Python, • Proven ability to debug complex, distributed systems Desirable • Exposure to satellite, telecom, or RF systems, • Experience with hardware operations, rack installation, or cable management, • Broader cloud platform experience beyond AWS WHY THIS ROLE STANDS OUT • Work on genuinely novel infrastructure at the intersection of space, ground, and cloud, • High ownership from day one, you'll design and ship, not just maintain, • Join a technically exceptional team building something with real-world impact, • Shape architecture at an early stage of a complex, mission-critical system, • An opportunity that sits at the cutting edge of clean technology infrastructure APPLY VIA CLEANTECH TALENT This role is being managed exclusively by Cleantech Talent on behalf of our client. If you have the background and ambition to take on this challenge, we would love to hear from you. Please apply directly through LinkedIn or reach out to the Cleantech Talent team with your CV and a brief note on your interest and relevant experience. All applications are handled in strict confidence.

Senior Machine Learning Engineer, Structural Biology | Pharma/BioTech | Series A - Drug discovery B2B Platform | EU Remote | | Salary Up to £130,000K, plus early equity+benefits The Client: A leading organization in the drug discovery field is currently looking for a client facing Senior Machine Learning Engineer to drive the development of foundational models that directly impact real-world drug discovery workflows. This hands-on, high-impact role offers the opportunity to advance the application of foundational models to complex structural biology challenges. The successful candidate will work closely with the leadership team, serving as the technical authority on machine learning modeling, architecture, and experimentation in this domain. While this role does not involve people management, the candidate will be expected to provide mentorship and guidance to engineers and researchers on technical content. The ideal candidate brings deep expertise in training and deploying state-of-the-art models for protein structure prediction. Beyond technical proficiency, you must understand how these models integrate into broader drug discovery pipelines and possess the strategic mindset needed to break down complex problems into actionable, impactful ML solution Requirements for the Senior Machine Learning Engineer, Structural Biology | Pharma/BioTech | Series A - Drug discovery B2B Platform | EU Remote | | Salary Up to £130,000K, plus early equity+benefits • Deep Technical Expertise: Proven experience building and training contemporary models (e.g., AlphaFold, OpenFold, Boltz) at scale in a production environment, • A strong track record of applying ML to real-world protein structure prediction or drug discovery problems., • Comfortable in a fast-paced startup environment, with the ability to break down complex technical problems into impactful ML systems., • Experience in Federated Learning, privacy-preserving ML, or a portfolio of publications in top-tier journals/conferences like NeurIPS, ICML, or Nature Methods, • Work with our customers and academic partners to define data, preprocessing, selection, and benchmarking strategies for novel training tasks involving protein structures, complexes, and multimodal biological data, • Carry out case-studies associated with the above, providing scientific and technical expertise to our customers. You will be involved in the full project pipeline, from scoping through to results delivery and dissemination. Responsiblities of the Senior Machine Learning Engineer, Structural Biology | Pharma/BioTech | Series A - Drug discovery B2B Platform | EU Remote | | Salary Up to £130,000K, plus early equity+benefits • Advance the state-of-the-art by fine-tuning and customizing foundational architectures such as OpenFold, ESMFold, and Boltz-2 for specialized structural biology challenges., • Architect model extensions tailored for binding affinity and protein complex prediction, overseeing everything from data distillation to rigorous benchmarking., • Partner with leading academic and industry stakeholders to engineer data selection and preprocessing strategies for complex, multimodal biological datasets., • Lead comprehensive technical case studies, managing the entire lifecycle from initial project scoping to the final dissemination of results., • Develop and sustain high-scale ML pipelines that support efficient training, inference, and production-grade deployment, • Work across internal teams to ensure all model development is anchored in solving genuine drug discovery hurdles., • Drive external impact through high-quality open-source contributions and scientific publications. Remuneration: • Fully Remote Working Culture, • Up to £160,000 Base Salary, • Attractive Stock Options, • B2B & Full time employee options, • Flexible hours + - 3 hours of CET time zone If you think you are a good match for the Machine Learning Engineer role, ping us over your CV and we will give you a call if we think you are a good match!

Principal Vulnerability Engineer (0-Day Research & Offensive Security Tooling) (Remote) About the Rol eWe are looking for an exceptional Principal Vulnerability Engineer to join our Offensive Security Research team. This is a unique opportunity for a highly technical security professional who combines elite vulnerability research capabilities with production-grade software engineering expertise .You will conduct original 0-day and n-day vulnerability research while building scalable, AI-powered tooling that automates vulnerability discovery, exploit validation, patch analysis, and detection engineering. Working at the intersection of offensive security, reverse engineering, software engineering, and applied AI, you will help organizations identify and eliminate critical vulnerabilities before they can be weaponized by adversaries .This role is ideal for a Senior Vulnerability Researcher, Principal Security Engineer, Exploit Developer, Offensive Security Researcher, Red Team Researcher, Security Software Engineer, or Reverse Engineer looking to work on high-impact security challenges at scale .What You'll D oVulnerability Researc • hConduct original 0-day and n-day vulnerability research across enterprise technologies, cloud services, applications, appliances, firmware, and operating systems, • .Perform patch diffing, root-cause analysis, reverse engineering, and exploit development against both source-available and binary-only targets, • .Discover and validate critical vulnerabilities including remote code execution (RCE), authentication bypass, privilege escalation, sandbox escapes, and full system compromise scenarios, • .Develop proof-of-concept exploits and technical advisories to support vulnerability validation and risk assessment .Offensive Security Engineerin • gDesign, build, and maintain production-grade tooling for automated vulnerability discovery, exploit validation, attack surface analysis, and detection signature generation, • .Develop scalable offensive security systems capable of operating across large attack surfaces and processing vast amounts of security data, • .Build automation that transforms manual research workflows into repeatable, scalable security capabilities, • .Drive engineering excellence through clean, maintainable, and production-quality code .AI & LLM Innovatio • nDesign and implement AI-assisted and LLM-powered workflows to accelerate vulnerability research and exploit development, • .Integrate large language models into offensive security pipelines to improve triage, analysis, automation, and research productivity, • .Explore emerging applications of AI in vulnerability discovery, reverse engineering, code analysis, and security automation, • .Measure and optimize the real-world impact of AI-driven security tooling .Research Leadershi • pLead advanced research initiatives focused on emerging threats, attack techniques, and novel vulnerability classes, • .Collaborate with engineers, researchers, and product teams to operationalize research outcomes, • .Establish technical standards and best practices across offensive security engineering and vulnerability research, • .Mentor team members on exploit development, reverse engineering, vulnerability analysis, and tooling development .Community Engagemen • tPublish original research, technical blogs, whitepapers, and vulnerability disclosures, • .Present research findings at industry-leading security conferences and events, • .Represent the organization within the global offensive security and vulnerability research community, • .Contribute to the advancement of security research through responsible disclosure and knowledge sharing .What We're Looking Fo rVulnerability Research Expertis • e5+ years of hands-on experience in vulnerability research, exploit development, offensive security, or security research, • .Demonstrated history of discovering, validating, or analyzing high-impact vulnerabilities, • .Experience with CVEs, coordinated vulnerability disclosure, security advisories, or published research, • .Deep understanding of modern attack techniques, exploit chains, and adversary methodologies .0-Day & N-Day Researc • hStrong experience performing patch diffing and root-cause analysis, • .Ability to reverse engineer software updates and identify security fixes before public disclosure details emerge, • .Experience building proof-of-concept exploits for vulnerability validation, • .Knowledge of vulnerability lifecycle management and exploitation techniques .Web & Binary Securit • yExpertise across both web application and binary exploitation domains, • .Strong understanding of authentication, authorization, deserialization, injection, memory corruption, logic flaws, and privilege escalation vulnerabilities, • .Hands-on experience with, • :Burp Suit, • eGhidr, • aIDA Pr, • oBinary Ninj, • aWinDb, • gGD, • BFrid, • aAFL+, • +libFuzze, • rFuzzing frameworks and debugging tool sSoftware Engineerin • gExpert-level Python development experience, • .Strong software engineering background with experience building production systems used by customers or internal stakeholders, • .Experience designing scalable architectures, APIs, automation platforms, and security tooling, • .Knowledge of modern software development practices, testing, CI/CD, and cloud-native environments .AI & Automatio • nPractical experience leveraging LLMs, AI agents, or machine learning systems within security workflows, • .Ability to evaluate, implement, and operationalize AI technologies that deliver measurable research acceleration, • .Experience building AI-assisted tooling for code analysis, vulnerability research, reverse engineering, or security operations is highly desirable .Startup & Scale-Up Mindse • tComfortable operating in a fast-paced, high-growth environment, • .Demonstrated ownership mentality and bias toward execution, • .Ability to navigate ambiguity, solve difficult technical problems, and deliver outcomes with minimal supervision, • .Passion for innovation, experimentation, and continuous learning . Technologi esVulnerability Research, 0-Day Research, N-Day Analysis, Patch Diffing, Exploit Development, Reverse Engineering, Offensive Security, Red Teaming, Security Research, Binary Exploitation, Web Application Security, Remote Code Execution (RCE), Memory Corruption, Authentication Bypass, Privilege Escalation, CVE Research, Vulnerability Discovery, Python, Ghidra, IDA Pro, Burp Suite, WinDbg, GDB, Frida, AFL++, Fuzzing, Detection Engineering, Security Automation, AI Security, LLMs, Security Tooling, Threat Research, Binary Analysis, Firmware Security, Cloud Security, Attack Surface Managemen t. Why Join • Us?Conduct cutting-edge 0-day and n-day vulnerability resear, • ch.Build AI-powered offensive security tooling used at sca, • le.Focus on impactful vulnerabilities and real-world exploitation scenari, • os.Present original research at leading global cybersecurity conferenc, • es.Work alongside world-class security researchers, engineers, and offensive security specialis, • ts.Influence the future of offensive security through innovation, automation, and advanced resear ch.

Full-time | Remote with trips to Silicon Valley office | Reports to Founders Introduction: • Join us at Fastino as we build the next generation of LLMs. Our team, boasting alumni from Google Research, Apple, Stanford, and Cambridge is on a mission to develop specialized, efficient AI., • Fastino's GLiNER family of open source models has been downloaded more than 5 million times and is used by companies such as NVIDIA, Meta, and Airbnb, • Fastino has raised $25M (as featured in TechCrunch) through our seed round and is backed by leading investors including Microsoft, Khosla Ventures, Insight Partners, Github CEO Thomas Dohmke, Docker CEO Scott Johnston, and others. What You’ll Work On: • Experiment with novel language model architectures, helping drive and execute Fastino's research roadmap, • Optimize Fastino’s multimodal models to improve response quality, instruction adherence, and overall performance metrics, • Architect data processing pipelines, implementing filtering, balancing, and captioning systems to ensure training data quality across diverse content categories, • Implement reinforcement learning techniques including Direct Preference Optimization and Generalized Reward Preference Optimization to align model outputs with human preferences and quality standards, • Build robust and real-world motivated evaluations, • Partner with Fastino engineering team to ship model updates directly to customers, • Establish best practices for code health and documentation on the team, to facilitate collaboration and reliable development What We’re Looking For: • Required - Great velocity for building and shipping agents / AI products., • Optional - Advanced degree (Master's or PhD) in Computer Science, Artificial Intelligence, Machine Learning, or related technical discipline with concentrated study in deep learning and computer vision methodologies, • Optional - Demonstrated ability to do independent research in Academic or Industry settings, • Optional - Substantial industry experience in large-scale deep learning model training, with demonstrated expertise in at least one of Large Language Models, Vision-Language Models, Diffusion Models, or comparable generative AI architectures, • Optional - Comprehensive technical proficiency and practical experience with leading deep learning frameworks, including advanced competency in one of PyTorch, JAX, TensorFlow, or equivalent platforms for model development and optimization

Title: Principal Forward Deployed Engineer – AI & Customer-Facing Technical Leader Location: Remote Travel: Customer visits 4–5 days/month; occasional team gatherings Salary: €120–£170k base + package discussion Tech: Python, JavaScript, Azure, AWS, AI, LLM's, RAG Industry: AI Consultancy The Role We’re looking for talented Principal-level Forward Deployed Engineers to join our customer-facing AI practice. You’ll work directly with clients to uncover problems, build prototypes, and guide full AI-enabled solution lifecycles. This is a role for engineers who: • Enjoy building real software that makes a difference, • Are passionate about AI and its practical application, • Thrive at the intersection of technical leadership and client engagement What You’ll Do Customer-Facing Leadership • Lead discovery workshops with technical and business stakeholders, • Represent the organisation’s technical capabilities in high-stakes client meetings, • Build trust and long-term relationships with engineering teams and decision-makers Solution Development & Architecture • Build and iterate working AI prototypes quickly, • Architect scalable, maintainable systems from prototype to production, • Make sophisticated technical decisions balancing AI innovation, quality, and deployment needs Technical Mentorship & Team Growth • Guide engineers through technical delivery, code reviews, and architectural discussions, • Elevate team capabilities through knowledge sharing, mentoring, and internal workshops, • Contribute to best practices, reusable components, and solution standards AI Mastery & Innovation • Implement AI solutions leveraging LLMs, foundation models, and retrieval-augmented generation (RAG) systems, • Design evaluation frameworks addressing bias, hallucination detection, and business impact, • Explore novel AI applications while integrating traditional ML techniques where appropriate Who We’re Looking For For Principal Engineers: • 8+ years delivering complex, enterprise-grade software, • Full-stack development capability across modern technologies, • Client-facing experience or technical consulting skills, • AI curiosity and hands-on experimentation with tools like ChatGPT, Claude, GitHub Copilot, • Proven AI/ML expertise with production deployment experience, • Advanced knowledge of transformer architectures, foundation models, and prompt engineering, • Senior stakeholder engagement experience and ability to lead high-level AI strategy

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The SRG are a team of Data Science, Machine Learning and AI specialists who develop novel AI solutions to mission focussed problems. Develop, novel data science solutions, contributing significantly to machine learning projects as part of a team, with some guidance and direction from seniors. BSc in

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The SRG are a team of Data Science, Machine Learning and AI specialists who develop novel AI solutions to mission focussed problems. Develop, novel data science solutions, contributing significantly to machine learning projects as part of a team, with some guidance and direction from seniors. BSc in

This role offers an exciting opportunity to contribute to cutting‑edge experimental physics research focused on developing Gabor lens technology for use in novel accelerator systems. Expertise in charged particle beams (electrons/positrons) and non‑neutral plasma traps. Knowledge of particle sim

You will develop novel algorithms and collaborate with the hardware team to ensure computational efficiency.

We are working with a globally recognised high-performance engineering organisation to recruit an IT Support Engineer to join a fast-paced technical support team based in Brixworth.This is an exciting opportunity for someone with experience in an IT Support or Service Desk environment to work within

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Our client is a fast-growing, venture-backed technology company transforming a large, complex industry through artificial intelligence and modern data infrastructure.We’re building AI-powered products that combine advanced automation with human expertise to improve operational workflows, reduce fr

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We’re currently hiring Maintenance Engineers to join the engineering team at a global distribution warehouse in South Yorkshire.This is an exciting opportunity to work in a highly automated warehouse environment that powers one of the UK’s leading retail distribution operations.You’ll be worki

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We’re a revenue-generating startup with strong product-market fit, and we’re growing fast.Join us now and you’ll work on impactful features that directly shape our platform and make a real difference to our customers.Design, build, and ship reliable backend services and APIs in Python (Flask)

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At Quest Global UK, we are looking for Door Systems Engineer – Rail / Rolling Stock for one of our Project based in England, United Kingdom.The Engineer would need to have sound experience in passenger door systems and therefore, an in-depth knowledge of:.All passenger door system components, from

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Senior Spacecraft Software Engineer.Depending on experience & Qualifications.We are proud to be supporting a world-leading space-to-cloud analytics company in their search for a Senior Spacecraft Software Engineer.Because this engagement is sensitive, we'll share the client's name with candidates at

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