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REED Engineering & Manufacturing are working with leading Engineering & Manufacturing company\n\nThe Pyrometry Engineer Lead is the site's technical authority for AMS2750 compliance and all heat‑treatment pyrometry activities. This role oversees the Thermocouple Laboratory, manage calibration programmes, and ensure all furnaces and thermal processes meet stringent regulatory and customer standards. Acting as a key partner across Manufacturing, Quality, Maintenance, and Engineering, the role drives furnace performance, product integrity, and continuous improvement across all thermal operations.\n\nKey Responsibilities\n\nLead site-wide compliance with AMS2750 and pyrometry standards.\nManage the Thermocouple Laboratory, including technicians, processes, and inventory.\nGovern thermocouple selection, calibration, traceability, and deployment.\nDirect and approve all TUS, SAT, and furnace calibration activities.\nMaintain and approve all calibration documentation and certifications.\nDevelop and control pyrometry procedures, quality standards, and technical documentation.\nProvide expert guidance for furnace troubleshooting, root‑cause analysis, and NCRs.\nSupport internal, customer, and third‑party audits as the site pyrometry SME.\nDrive continuous improvement in furnace reliability, process capability, and operational efficiency.\nInfluence long‑term thermal processing strategy across cross‑functional teams.\nPromote strong safety, environmental, and quality governance in a heavy‑engineering setting.Skills & Experience\n\nExpert knowledge of AMS2750, pyrometry, and heat‑treatment standards.\nStrong background in metallurgy and heat‑treatment science.\nDeep understanding of thermocouple technologies and furnace control systems.\nSkilled communicator able to influence senior stakeholders.\nProven capability in structured problem‑solving and risk assessment.\nStrategic thinker with a strong compliance and operational mindset.Essential Skills\n\nStrong knowledge of AMS2750 and thermal processing standards\nUnderstanding of metallurgy and heat‑treatment effects on materials\nExperience with thermocouples, calibration methods, and temperature‑measurement systems\nAbility to set up temperature‑monitoring equipment and collect accurate data\nClear communicator able to influence stakeholders and write precise procedures\nSkilled in risk assessment, root‑cause analysis, and problem‑solving\nQuality‑focused with a strong compliance mindset\nAble to work safely and effectively in a heavy‑engineering environment

A global engineering leader is strengthening its senior design capability on large-scale, bespoke mechanical systems used worldwide. High technical challenge, proper CAD/analysis ownership, and the stability of long-term capital projects — away from short-cycle, low-impact design work. Accountability and Responsibility: • Accountable for the completion of 3D modelling, detail design, technical calculations, and product development as assigned by management utilizing the internal software and tools., • Responsible for assigned portion of product design and development process, ensuring project schedules are maintained while following the Company standards., • Coordinate and mentor the Designer Engineers, whilst maintaining responsibility for Projects within specific areas, working closely with Project Engineers to reach assigned target, • Develop the layout of areas of equipment, proposal layout, basic engineering of new mechanical equipment based on Customer requests, • Carry out complex mechanical calculations, • Oversee Design Engineers during detail engineering stage, • Participate in commercial / technical (basic and detail design) meetings worldwide. This will involve customer interaction and other business units such as Civil, Piping, Automation, • Assist Purchasing, Manufacturing, Erection and Commissioning Departments during handling of developed engineering where necessary, • Continuous monitoring on project progress, identify any areas of concern, escalate where necessary and manage customer expectations, • Coordinate inputs to ensure a winning strategy is clearly communicated and documented., • On time delivery of technical documents; in the desired medium (portal upload and/or electronic/hard copies, etc)., • Ensure technical documents, relevant project related information, MoMs, etc, are recorded and filed correctly on the server., • Support sales activities through drawing/document creation and on-site reverse engineering of products., • Liaison with representatives from suppliers during technical evaluations of project solutions., • Manage expectations, clarify requirements and make requests, including submission deadline changes, as required., • Degree in Mechanical Engineering or equivalent relevant experience., • Minimum of 7 years’ experience in 2D and 3D CAD required (Autodesk Inventor an advantage but not essential) within an OEM structured engineering department, • Metallurgy, material science, heat treatment; specific knowledge in cutting, welding, heat treatment and machining, • Mechanical calculations (NX, MathCAD, Microsoft Excel), • Free reading of design/technical documentation, • To operate freely with international documentation: technical books, standards, catalogues etc, • (AutoCAD, Inventor), • Work in international groups with ability to communicate both verbally and written and work within a worldwide team environment., • Strong analytical and problem-solving ability looking at overall results and finer details., • Ability to prioritise workload, on-time delivery and deliver on-time results to Company standards whilst working on multiple projects., • Experience undertaking structured writing in the form of technical reports., • Available for regular business travel (worldwide), • Basic product/plant understanding and know-how (what pieces go where and how to find reference information).

Assistant Machine Operator – Manufacturing Shift Pattern: 5-Shift Rotation 7 on 2 off 7 on 2 off 7 on 10 off, days nights and afters Location: Rotherham £41,000 The Role An opportunity has arisen for an Assistant Machine Operator to support production operations within a high-volume manufacturing environment. The role involves safe machine operation, quality monitoring, fault diagnosis, housekeeping, and supporting production teams to achieve performance, safety, and quality targets. This is a hands-on position requiring strong technical awareness, attention to detail, and the ability to work effectively within a shift-based operation. Key Responsibilities • Operate production machinery safely and in line with company procedures and standard operating practices., • Support machine operators during operation as directed by shift supervision., • Identify, diagnose, and correct product and process faults., • Maintain a clean, safe, and hazard-free working area around production equipment., • Accurately record machine actions, process parameters, and quality checks in manual and electronic systems., • Carry out routine quality and gauging checks and record results as required., • Communicate production or quality issues to downstream processes using internal systems., • Handle tooling and production equipment carefully to avoid damage or downtime., • Replace consumable items from stores as required., • Take readings and measurements at key stages of production when directed., • Assist with housekeeping at the start and end of shifts, including enhanced cleaning tasks on night shifts., • Work to departmental targets and act on information provided in production schedules or shift communications., • Support continuous improvement activities and team objectives., • Strong knowledge of production faults and problem-solving techniques., • Previous experience operating and/or setting machinery in a manufacturing environment., • Experience of Lean Manufacturing and Continuous Improvement activities., • Good technical understanding with the ability to troubleshoot machinery-related issues., • Confident user of PC-based systems for data input and process monitoring., • Good written and verbal communication skills., • Mechanical qualification (City & Guilds or equivalent)., • Health & Safety qualification (e.g. IOSH or equivalent)., • Educated to GCSE level or equivalent, including Maths, English, and a science subject., • Motivated, professional, and results-driven with a strong safety focus., • High attention to detail and commitment to quality., • Logical and analytical approach to work., • Resilient and able to work in a fast-paced, pressurised environment., • Strong interpersonal skills; confident working with a wide range of colleagues., • Proactive, adaptable, and open to change., • Willing to take ownership and responsibility., • Actively promotes safety, standards, and continuous improvement.

Senior Hydraulic ModellerUK Flexible LocationSalary: £50,000 - £60,000 Are you a Senior Hydraulic Modeller ready for a role where your technical input helps shape better wastewater and surface water solutions? This Senior Hydraulic Modeller opportunity is with a leading consultancy known for strong technical standards, flexible working and a supportive team culture. The Senior Hydraulic Modeller will join a respected water team delivering projects across the UK, with work covering wastewater networks, integrated catchment modelling and surface water systems. For a Senior Hydraulic Modeller seeking varied schemes and genuine responsibility, this is a strong career move. Key responsibilities* Deliver wastewater and surface water modelling projects from start to finish* Build, verify and audit ICM or InfoWorks models in 1D and 2D* Interpret outputs and develop practical, cost-effective solutions* Plan surveys and coordinate data collection activities* Prepare technical reports and client updates* Manage project budgets, resources and programme delivery* Mentor junior engineers and modellers* Maintain quality and health and safety standards Candidate requirements* Degree in Civil Engineering, Environmental Science or similar* At least 6 years of wastewater hydraulic modelling experience* Advanced knowledge of ICM or InfoWorks* Experience supervising and reviewing technical work* Strong communication and client-facing skills The Senior Hydraulic Modeller role offers hybrid flexibility, national project exposure, strong progression potential and a salary of £50,000 - £60,000 plus excellent benefits. This Senior Hydraulic Modeller position will suit someone ready to lead and influence project outcomes. Eligibility to Apply Applicants must already have the right to work in the UK. Sponsorship is not available. Penguin Recruitment is operating as a Recruitment Agency for this position. For more information, contact Andy Hopkins, our Civil Engineering specialist with over 30 years' recruitment experience.

Principal Hydraulic ModellerUK Flexible LocationSalary: £60,000 - £75,000 Are you a Principal Hydraulic Modeller ready to lead major modelling projects and shape technical direction across a high-performing water team? This Principal Hydraulic Modeller opportunity is with a leading consultancy that values technical excellence, trusted leadership and flexible working. The Principal Hydraulic Modeller will play a key role in delivering wastewater and surface water projects across the UK, supporting clients with integrated catchment modelling, network performance and practical asset strategies. For an experienced Principal Hydraulic Modeller, this is a strong opportunity to influence delivery, support team development and build client relationships. Key responsibilities* Lead wastewater and surface water modelling projects from scope to completion* Build, review and approve ICM or InfoWorks models in 1D and 2D* Interpret outputs and develop practical, cost-effective solutions* Oversee surveys, data collection and technical QA processes* Manage budgets, resources and programme delivery* Mentor senior and junior engineers within the team* Support client meetings, proposals and framework development* Maintain strong health and safety and quality standards Candidate requirements* Degree in Civil Engineering, Environmental Science or similar* Extensive experience in wastewater hydraulic modelling* Advanced knowledge of ICM or InfoWorks* Strong experience leading teams and reviewing technical delivery* Confident client-facing and project management skills The Principal Hydraulic Modeller role offers hybrid flexibility, national project exposure, genuine leadership responsibility and a salary of £60,000 - £75,000 plus excellent benefits. This Principal Hydraulic Modeller role will suit someone ready to lead with authority and impact. Eligibility to Apply Applicants must already have the right to work in the UK. Sponsorship is not available. Penguin Recruitment is operating as a Recruitment Agency for this position. For more information, contact Andy Hopkins, our Civil Engineering specialist with over 30 years' recruitment experience.

Job Title: ESG AnalystLocation: Rotherham (fully site based)Salary: £30,000 - £33,000 Elevation Tech & Transformation are looking for a detail-oriented Data Analyst to join one of our key clients in Rotherham. This is a great opportunity for someone interested in sustainability, data analysis and reporting. You’ll play a key role in collecting, validating and analysing ESG (Environmental, Social and Governance) data, supporting the organisation’s sustainability initiatives and regulatory reporting. Key Responsibilities • Collect, validate, and analyse ESG data across the organisation, including carbon emissions, energy usage, and workforce metrics, • Support environmental and sustainability reporting processes, • Maintain trackers and dashboards to monitor KPIs and ESG-related risks, • Gather and organise ESG data and supporting documentation for internal reporting, external stakeholders, and regulatory requirements (e.g. SECR), • Assist in preparing emissions data for CBAM reporting, including coordinating data collection from production teams and suppliers, • Contribute to ESOS reporting activities, • Support the calculation of projected emissions for capital expenditure projects, • Degree in sustainability, environmental science, finance, data analytics, or a related field, • Experience in data analysis, ESG, or a similar related role, • Exposure to a manufacturing environment, • Strong analytical mindset with attention to detail, • Advanced Excel skills or the ability to quickly develop strong IT proficiency, • Understanding of spreadsheet development, including documentation and error-checking practices

REED Engineering & Manufacturing are working with leading Engineering & Manufacturing company The Pyrometry Engineer is the site’s technical authority for AMS2750 compliance and all heat-treatment pyrometry activities. This role oversees the Thermocouple Laboratory, manage calibration programmes, and ensure all furnaces and thermal processes meet stringent regulatory and customer standards. Acting as a key partner across Manufacturing, Quality, Maintenance, and Engineering, the role drives furnace performance, product integrity, and continuous improvement across all thermal operations. Key Responsibilities • Lead site-wide compliance with AMS2750 and pyrometry standards., • Manage the Thermocouple Laboratory, including technicians, processes, and inventory., • Govern thermocouple selection, calibration, traceability, and deployment., • Direct and approve all TUS, SAT, and furnace calibration activities., • Maintain and approve all calibration documentation and certifications., • Develop and control pyrometry procedures, quality standards, and technical documentation., • Provide expert guidance for furnace troubleshooting, root-cause analysis, and NCRs., • Support internal, customer, and third-party audits as the site pyrometry SME., • Drive continuous improvement in furnace reliability, process capability, and operational efficiency., • Influence long-term thermal processing strategy across cross-functional teams., • Expert knowledge of AMS2750, pyrometry, and heat-treatment standards., • Strong background in metallurgy and heat-treatment science., • Deep understanding of thermocouple technologies and furnace control systems., • Skilled communicator able to influence senior stakeholders., • Proven capability in structured problem-solving and risk assessment., • Strong knowledge of AMS2750 and thermal processing standards, • Understanding of metallurgy and heat-treatment effects on materials, • Experience with thermocouples, calibration methods, and temperature-measurement systems, • Ability to set up temperature-monitoring equipment and collect accurate data, • Clear communicator able to influence stakeholders and write precise procedures, • Skilled in risk assessment, root-cause analysis, and problem-solving, • Quality-focused with a strong compliance mindset, • Able to work safely and effectively in a heavy-engineering environment

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 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. 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.

About the Role To be responsible for product design, development, and detailing utilizing CAD software and other engineering skills / calculations. Developing engineering and coordinating a team of Designers being responsible for Projects specific areas, machines, technologies and working closely with Project Engineer to reach assigned targets. Responsibilities • Accountable for the completion of 3D modelling, detail design, technical calculations, and product development as assigned by management utilizing the internal software and tools., • Responsible for assigned portion of product design and development process, ensuring project schedules are maintained while following the Company standards., • Coordinate and mentor the Designer Engineers, whilst maintaining responsibility for Projects within specific areas, working closely with Project Engineers to reach assigned target., • Develop the layout of areas of equipment, proposal layout, basic engineering of new mechanical equipment based on Customer requests., • Carry out complex mechanical calculations., • Oversee Design Engineers during detail engineering stage., • Participate in commercial / technical (basic and detail design) meetings worldwide. This will involve customer interaction and other business units such as Civil, Piping, Automation., • Assist Purchasing, Manufacturing, Erection and Commissioning Departments during handling of developed engineering where necessary., • Continuous monitoring on project progress, identify any areas of concern, escalate where necessary and manage customer expectations., • Coordinate inputs to ensure a winning strategy is clearly communicated and documented., • On time delivery of technical documents; in the desired medium (portal upload and/or electronic/hard copies, etc)., • Ensure technical documents, relevant project related information, MoMs, etc, are recorded and filed correctly on the server., • Support sales activities through drawing/document creation and on-site reverse engineering of products., • Liaison with representatives from suppliers during technical evaluations of project solutions., • Manage expectations, clarify requirements and make requests, including submission deadline changes, as required., • Support sales and prepare the data analysis and collection before the project start. Qualifications and experience • Degree in Mechanical Engineering or equivalent relevant experience., • Minimum of 7 years’ experience in 2D and 3D CAD required (Autodesk Inventor an advantage but not essential) within an OEM structured engineering department., • Metallurgy, material science, heat treatment; specific knowledge in cutting, welding, heat treatment and machining., • Mechanical calculations (NX, MathCAD, Microsoft Excel)., • Free reading of design/technical documentation., • To operate freely with international documentation: technical books, standards, catalogues etc (AutoCAD, Inventor)., • Work in international groups with ability to communicate both verbally and written and work within a worldwide team environment., • Strong analytical and problem-solving ability looking at overall results and finer details., • Basic product/plant understanding and know-how (what pieces go where and how to find reference information)., • Ability to prioritise workload, on-time delivery and deliver on-time results to Company standards whilst working on multiple projects., • Experience undertaking structured writing in the form of technical reports., • Available for regular business travel (worldwide). Required Skills • 2D and 3D CAD proficiency., • Mechanical calculations expertise., • Strong communication skills., • Analytical and problem-solving skills. Preferred Skills • Experience with Autodesk Inventor., • Knowledge of metallurgy and material science., • Familiarity with international documentation.

Engineering Coordinator Sheffield (Hybrid) Leading Global Financial Services Organisation We are working with a leading global financial services organisation seeking an experienced Engineering Coordinator to support large‑scale engineering transformation initiatives across a complex, enterprise technology environment. This role sits within a central engineering excellence function and focuses on improving engineering standards, capability, and consistency across software, data, infrastructure, and operations teams. The Role As an Engineering Coordinator, you will play a key role in uplifting engineering practices across multiple technology domains. You’ll work closely with senior engineering leaders, Principal Engineers, HR/L&D, and workforce teams to improve how engineering is delivered, developed, and scaled. This is a coordination and enablement role rather than a hands‑on engineering position, well-suited to someone who enjoys working across teams, influencing senior stakeholders, and driving continuous improvement. Key Responsibilities • Coordinate engineering transformation and maturity uplift initiatives across multiple domains, • Assess current engineering capability, identify gaps, and help define improvement plans with engineering leadership, • Partner with senior engineers to promote best‑practice engineering standards and behaviours, • Support and evolve engineering Communities of Practice to strengthen culture and consistency, • Work with HR, L&D, and workforce teams to improve:, • Engineering hiring quality, • Training, upskilling, and long‑term career pathways, • Use engineering data and metrics to provide insight into maturity, progress, and impact, • Help embed consistent engineering standards across diverse technical disciplines What We’re Looking For • Experience delivering engineering transformation, change, or continuous improvement initiatives, • A strong engineering mindset, with exposure to multiple technology areas and deep expertise in at least one discipline, • Proven ability to coordinate work across complex, multi‑team, enterprise environments, • Comfortable working with senior technical stakeholders and influencing without direct authority, • Able to analyse engineering data and translate it into clear, actionable insights, • Strong communication skills, able to engage both technical and non‑technical audiences Nice to Have • Degree in Computer Science, Engineering, or a related discipline, • 5+ years’ experience in engineering coordination, engineering enablement, or transformation roles, • Familiarity with engineering maturity models, standards, and modern infrastructure or platform environments

About the job This role is being recruited for by Vecta, on behalf of one of our partner companies. Lead Data Scientist - Credit Risk, Valuation & Data Strategy Location: Northampton, UK (Hybrid - must be within commutable distance) Contract: Permanent, Full-Time Salary: Competitive Base + Annual Bonus (up to 15%) Reports To: Senior Leadership / Director Level The Opportunity A privately owned, high-growth UK financial services group - one that has funded over £1.5 billion for 20,000+ SMEs - is looking for a Principal Data Scientist to take ownership of the models and data science capability that sit at the heart of its lending operations. The business operates as both a direct lender and a broker with a panel of 60+ lending partners. Credit decisions, asset valuations, and portfolio management underpin everything it does - and the company is investing heavily in AI and machine learning to sharpen these capabilities. This role is central to that investment. As Principal Data Scientist, you will be the most senior hands-on practitioner in the team. Your primary focus will be designing, building, and refining the credit risk and valuation models that drive real lending decisions worth hundreds of millions of pounds. You’ll work end-to-end - from exploratory analysis and feature engineering through to validated, production-ready models deployed in AWS. Critically, this is not a back-room role. You will regularly present model outputs, strategic recommendations, and performance insights to directors and senior leadership. The ability to translate complex technical work into clear, compelling narratives for non-technical decision-makers is essential. If you want a role where your models go live, your recommendations shift real lending policy, and you have a direct line to the people running the business - this is it. What You’ll Do Model Development & Credit Risk • Design and develop end-to-end machine learning models for credit risk - including probability of default, loss-given-default, exposure at default, and borrower scoring - from research through to production deployment., • Build and refine discounted cash flow (DCF) models for asset valuation, integrating market data, historical performance, and business-specific signals., • Propose and deliver improvements to existing credit risk models, credit strategies, and underwriting workflows - from scorecard refinement to new ML-driven decisioning., • Design and run rigorous model validation and back-testing frameworks, ensuring models meet both internal standards and regulatory expectations., • Establish model monitoring, drift detection, and retraining frameworks to keep models accurate and resilient in production. Stakeholder Engagement & Presentation • Present model performance, strategic recommendations, and data-driven insights to directors, senior leadership, and risk committees on a regular basis., • Translate complex model outputs into clear, actionable narratives that non-technical stakeholders can use to make confident decisions., • Build strong working relationships across underwriting, risk, operations, and commercial teams - acting as the bridge between data science and business strategy., • Collaborate with senior leadership to quantify the business impact of AI initiatives and build the case for continued investment. Data Strategy & Engineering • Conduct deep exploratory data analysis to identify new predictive features, data quality issues, and opportunities to improve model accuracy., • Partner with data engineering and technology teams to shape data architecture, feature stores, and clean, reliable pipelines that support ML workloads., • Drive adoption of ML engineering best practices: reproducible pipelines, version control, testing, documentation, and automated retraining., • Explore new data science applications across the business - from automated underwriting signals and portfolio segmentation to collections optimisation., • Stay current with developments in credit risk modelling, applied ML, and relevant financial regulation, bringing external best practice into the organisation. What You’ll Bring Essential • Proven, hands-on experience building credit risk models (PD, LGD, EAD, scorecards, or equivalent) in a lending or financial services environment - this is non-negotiable., • A track record of taking models from research through to production deployment in live lending or decisioning systems., • Excellent presentation and communication skills - you are confident and credible presenting to directors, risk committees, and senior leadership audiences., • Strong interpersonal skills and the ability to build trusted relationships across technical and non-technical teams at all levels., • Advanced Python skills with strong data science fundamentals (pandas, scikit-learn, XGBoost, statsmodels, or similar)., • A rigorous, evidence-driven approach to model development with strong problem-solving ability., • A commercial mindset - you instinctively connect model performance to business outcomes and know how to prioritise for impact. Preferred • Degree in a quantitative discipline: Mathematics, Statistics, Physics, Computer Science, Engineering, or similar., • Understanding of financial concepts such as discounted cash flows, net present value, and yield curves., • Hands-on experience with AWS services (SageMaker, S3, Glue, Step Functions, or equivalent cloud ML infrastructure)., • Experience with MLOps tooling (MLflow, Airflow, dbt, or equivalent)., • Familiarity with model risk management frameworks and regulatory expectations (e.g. SR 11-7, PRA model risk guidance)., • Experience mentoring or technically leading other data scientists. The Kind of Person Who Thrives Here • You’re as comfortable in a boardroom as you are in a Jupyter notebook - you can explain a model’s assumptions to a director and debug a pipeline the same afternoon., • You’re commercially sharp and understand that the best model is the one that gets adopted and drives better decisions., • You’re calm and organised under pressure, comfortable owning multiple workstreams simultaneously., • You build trust quickly across functions - people want to work with you because you make their teams better., • You’re proactive and curious - you don’t wait for a brief to explore an interesting signal in the data., • You’re energised by building something new rather than maintaining the status quo. Why This Role 📊 Models That Matter Your work directly shapes lending decisions on a book worth hundreds of millions of pounds. 🎯 Direct Access to Leadership Present regularly to directors and senior leadership - your voice shapes strategy. 💰 Competitive Package Strong base salary plus annual bonus of up to 15%. 🏠 Hybrid Working Northampton HQ with flexible hybrid arrangements. 🚀 High-Growth Business A company that’s more than doubled in recent years with serious scale ambitions. 🔬 Full Lifecycle Ownership End-to-end: from EDA and feature engineering to deployment, monitoring, and board-level reporting. About the Company This is a well-established, privately owned UK finance group headquartered in Northampton. Founded in 2007, the business provides SMEs with access to a comprehensive range of funding options - from asset finance and hire purchase to business loans and government-backed schemes. Operating as both a direct lender and a broker with a panel of 60+ partners, the company has arranged over £1.5 billion in funding for more than 20,000 businesses across every sector. Highly rated by its customers (4.8 stars across 900+ reviews) and having more than doubled in size in recent years, the business is making its most significant investment yet in AI and machine learning. This role is the cornerstone of that investment - the person hired will define how the company uses data science to compete, grow, and make better lending decisions for the next decade. Please note: as part of the recruitment process, a criminal records check and a credit history check will be carried out by an authorised third party.

🚀 Hiring: Forward Deployed Engineer (Fully Remote across the UK) I’m partnering with a leading Revenue Ops platform transforming the commercial insurance space with a cutting-edge AI system that pulls from hundreds of data sources to modernize underwriting. 💰 $180M funded (Series A–D) 📈 7-figure recurring revenue 🌎 Fully remote 🧠 World-class engineering team This is a high-impact, customer-facing engineering role where you’ll architect and build custom solutions directly with enterprise clients. You’ll be writing production code, owning implementations end-to-end, and shaping long-term customer success. Must have experience: • BS in Computer Science, • Strong programming skills + SQL (live coding interview, no AI allowed), • Currently shipping production code, • Experience leading complex B2B SaaS implementations, • Forward Deployed / Solutions Engineering background, • 6+ years of experience, • Startup experience (Seed- Series E) Compensation is flexible and tailored to experience — we’re open to candidate expectations Fully remote across the UK

What are T Levels? T Levels are new courses coming in September 2020, which will follow GCSEs and will be equivalent to three A levels. These two-year courses have been developed in collaboration with employers and businesses, so that the content meets the needs of industry and prepares students for work. T Levels will offer students a mixture of classroom learning and 'on-the-job' experience during an industry placement of at least 45 days. They will provide the knowledge and experience needed to open the door into skilled employment, further study or a higher apprenticeship. The Role The T Level Examiner role is an excellent opportunity to earn some extra money in a contract role, alongside any full-time commitments you may have, whilst also developing your career in education. T-Level Examiners mark candidate responses in accordance with a pre-defined mark scheme, whilst adhering to the Code of Practice and published examination procedures. Assessments will be marked either onscreen using ePEN, which can be completed from home, or by the traditional method, using paper scripts sent through the post. A high level of contemporary subject knowledge is necessary in order to apply the mark scheme. Each examiner will receive an agreed allocation of scripts. Some national travel may be required to attend examiner training and standardisation. We have opportunities available to mark Core Paper 1: Digital Analysis, Legislation and Emerging Issues, Core Paper 2: The Business Environment and Employer Set Project. We are recruiting for below papers Digital Support and Security GEN 2 Core Exam 1 19597 Core Exam 2 19598 Employer Set Project- Data Infrastructure and Network Cabling 19599 Employer Set Project- Digital Support 19600 Employer Set Project- Cyber Security 19601 Responsibilities • To mark accurately and consistently to ensure overall standards are maintained., • To submit samples to your Team Leader at designated times., • To ensure milestones for marking are adhered to., • To ensure all administration is completed as specified., • To attend standardisation, • To regularly mark scripts during the Summer Series and/or Autumn Series Qualifications Essential You will have a degree or equivalent work-based qualification such as a Level 5/6/7 NVQ in computing, computer science or software development or membership of a relevant professional body such as the British Computing Society (BCS) or the Chartered Institute for IT. Be fully conversant with the languages in the specification eg, Python or C based languages such as C, C#, C++, Java Desirable You will be a qualified teacher or hold an equivalent teaching qualification such as Cert Ed, C&G 7404, PTTLLS, CTLLS, DTLLS or an Assessor/Verifier award Experience Required You will hold a minimum of one year's teaching and assessment experience within the last 8 years or equivalent in computing or software development or programming or computer science at Level 3 OR You will have recent occupational experience in one of the following job or occupational titles: Computer Programmer, Software Developer, Software Engineer. Senior Software Developer. Competencies Required • You will have the ability to work well under pressure, • You will have the ability to meet deadlines, • You will have a high level of subject knowledge in order to apply the mark scheme Additional information If you do have teaching experience within the last 8 years, please ensure you list this under 'Occupational Experience' About Pearson Welcome to Pearson, the world's leading learning company. We have a simple mission: to help people make more of their lives through learning. We are the UK's largest awarding body and offer qualifications that are globally recognised and benchmarked, with educational excellence rooted in names like Edexcel, BTEC, EDI and LCCI. We value the power of inclusive culture and embed diversity and inclusion in everything we do. Pearson promotes a company culture where differences are embraced as strengths, opportunities are equal and accessible, consideration and respect are the norm. Through our talent, we believe that diversity and inclusion make us a more innovative and vibrant company. People are at the centre of our company. We are committed to a sustainable environment and workplace ecosystem where talent can learn, grow, and thrive.

Looking for a Computer Studies Teacher in Sheffield!\n\nJob Title: Computer Studies Teacher\n\nLocation: Sheffield\n\nSalary: Up to £220 per day (depending on experience)\n\nStart Date: Immediate\n\nContract Type: Day-to-day / Long Term, Full-time / Part-time\n\nAre you a tech-savvy educator with a drive to prepare young people for the digital world?\n\nGSL Education are seeking enthusiastic and knowledgeable Computer Studies Teachers to work in schools across Sheffield.\n\nAs a Computer Studies Teacher, you will play a key role in equipping students with essential digital literacy, computational thinking, and coding skills that are increasingly vital in today's world. If you are passionate about technology and committed to delivering engaging, forward-thinking lessons, this is the opportunity for you.\n\nResponsibilities:\n\nPlan and deliver stimulating Computer Studies lessons aligned to the national curriculum\nTeach across Key Stages 3 and 4, covering topics such as programming, networks, data, and cyber security\nDevelop students' computational thinking, logical reasoning, and problem-solving abilities\nPrepare pupils effectively for GCSE assessments and examinations\nTrack and assess student progress, offering clear and constructive feedback\nAdapt lessons to suit a range of learning styles and abilities\nKeep up to date with developments in computing and integrate relevant content into your teaching\nWork collaboratively with colleagues to support departmental goals and curriculum planning\nRequirements:\n\nQualified Teacher Status (QTS) or equivalent teaching qualification\nA degree in Computer Science, Information Technology, or a related subject\nExperience teaching Computer Studies or Computing in a secondary school is desirable\nSolid subject knowledge across programming, hardware, software, and digital systems\nStrong classroom management skills and the ability to engage students of all abilities\nA forward-thinking, adaptable, and professional approach to education\nAn Enhanced DBS on the Update Service (or willingness to complete a new application)\nPlease be advised that this role requires a strong knowledge and understanding of safeguarding and child protection, and successful applicants must satisfy all background safer recruitment checks, including providing an enhanced DBS certificate registered on the update service or completing a new application.\n\nAs an ethical, independent recruitment agency, GSL Education are committed to providing quality teaching and support staff across the UK.\n\nTo work with GSL Education in this role, you should:\n\nHave the right to work in the UK\nHold an up-to-date CV with two references from the last 2 years\nHave a DBS registered to the update service or be happy to apply for one with GSL Education\nFor more information or to register your interest in this Computer Studies Teacher role, please click 'Apply Now' to submit your full and up-to-date CV. Alternatively, you can find Leanne Clark on the GSL Education Website to discuss this opportunity further

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, 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 starting salary of £25K-£45K. We have partnered with a number of large organisations strategically located throughout the UK, providing a nationwide reach of jobs for our candidates. We guarantee you will be offered a job upon completion, or we will refund you 100% of your course fees back. We have a proven track record of placing 1000+ candidates into new roles each year. Check out our website for our latest success stories.Read through the information? Passionate about starting a career in data science? Apply now and one of our friendly advisors will be in touch.

Position: Senior Waste and Radiation Protection Specialist Location: Milton Park Business Park, Oxfordshire Arrangement: Permanent Work Arrangement: Flexible working between a NUVIA office, home and site. NUVIA UK’s Land Remediation and Characterisation (LR&C) department draws on the strong foundations of NUVIA's metrology and Health Physics heritage, with industry recognised specialists having expertise and experience spanning many decades both within the UK and Internationally. The senior waste and radiation protection specialist will play a key role in providing radiation protection advice and training to support a range of operational projects, such as site investigations, land remediation, drain surveys and waste assay campaigns. In addition, they will provide radioactive waste support in terms of Waste Management Plans, Best Available Technique (BAT) Assessments and Sample and Analysis Plans. The Role As a Senior Waste and Radiation Protection Specialist, your role will include: • Provision of radiation protection advice that will ensure working practices meet the requirements of current Legislation and best practice., • Evaluate the operational environment and the radiological requirements to provide Radiation Risk Assessments (RRA) for the work in hand., • Advise teams on operational styles that should be adopted to maintain a safe working environment and provide training, as appropriate., • Co-ordinate the production of radiological protection documentation such as Normal Operational Dose Uptake Assessments, Radiological Zoning, Radiological Risk Assessments, ALARP Assessments, Operating Instructions and compliance statements., • Develop and maintain knowledge of the characterisation and land quality core services and capabilities., • Engage with regulatory authorities to support Permit applications, transfers and variations., • Provide guidance, advise and training to customers regarding HSE notifications and registration, typically required for land remediation contracts on historic sites, i.e., thorium and radium contamination., • Provide transport RRA’s for radioactive waste and source transfers, • Write technical reports and support characterisation assessments and desk studies., • Attend industry events, conferences, and trade shows as required. Profile Qualifications and Experience To be considered for the Senior Waste and Radiation Protection Specialist role, we are seeking a highly motivated individual, possessing strong communication and interpersonal skills. The following criteria will also be considered: • RPA2000 Certified Radiation Protection Adviser is essential, • Demonstrable experience as a qualified Radiation Protection Adviser (RPA) in operational environments., • Experienced in the technical aspects of waste management and land remediation, including regulatory requirements, and working towards or qualified as a Radioactive Waste Adviser (RWA) would be advantageous., • Experienced in collaborative delivery, working closely with clients, regulators and stakeholders., • Must be able to achieve and maintain Security Clearance (SC) for this role., • A bachelor’s degree in a science related field would be beneficial., • Ability and willingness to acquire job related knowledge through self-development and learning from others, • Must have a full driving licence and be available to visit customer sites, as required. Why join the LR&C team? We like to think of the LR&C team as an intrapreneurial unit, i.e., a start-up initiative delivered within the confines and security of a successful and established nuclear, engineering company. We believe that land remediation is not just about removing contamination, it is about restoring confidence, protecting the environment and enabling the safe reuse of land for future generations. Our LR&C services combine decades of experience, proprietary technologies, and a deep understanding of regulatory frameworks to deliver safe, efficient and sustainable solutions. Since the late 1990s, we’ve been developing and refining in-situ radiological measurement technologies to support land remediation and decommissioning. Our systems are designed to optimise segregation at source, reduce waste volumes and enable the use of lower-impact waste management options. From legacy nuclear facilities to former industrial sites, we provide the tools, expertise and data to enable confident decision-making. We offer a complete range of services, including radiological surveying and mapping of land, buildings, pipelines and boreholes; classification and segregation of excavated materials; sampling and fingerprinting of radionuclides; and real-time data management to track waste from generation to disposal. Our team also supports clients with environmental permitting, regulatory compliance, and the development of waste management strategies tailored to each site’s needs. Whether it’s supporting clearance, delicensing, or redevelopment, we deliver practical, auditable solutions that meet the highest standards of safety and environmental stewardship. Why us? Employee Staff Benefits: • Hybrid and agile working policies, • 8.5% Pension Contribution & Life Assurance, • Private Medical Scheme*, • Employee Share Scheme, • Salary Sacrifice Schemes: Electrical Vehicles, Technology and Cycle to Work, • 25 days holiday (increasing to 28 days after 5 years’ service, 31 days after 10 years’ service), • Option to buy, sell and carry over up to 5 days annual leave per year, • 18 Weeks Full Maternity Pay* (+21w SMP), • In partnership with trade unions, • Personal Development & Further Education Support, • Long Service & Recognition Awards NUVIA UK - a subsidiary of VINCI construction - is an international company that operates across highly regulated sectors including Civil Nuclear and has a strong presence and history of delivery at nuclear sites in the UK and internationally. NUVIA UK is a performance-driven company that is committed to the development of its people within a culture of safety, innovation, and excellence. NUVIA UK is committed towards equality in employment.

Quiet Mark - Technical Executive Who We Are Quiet Mark stands at the intersection of science and well-being, leading a global initiative, towards a quieter, healthier world. We are more than just a certification programme; we are a movement devoted to transforming everyday environments into spaces of peace and comfort through quieter appliances, technologies and solutions to unwanted noise. Recognised worldwide, we are committed to empowering consumers and industries with the knowledge and resources needed to reduce noise pollution. Our dynamic, dedicated team finds motivation in the pursuit of a more peaceful, harmonious world, and we thrive on innovative thinking and collaboration. Quiet Mark is the next generation certification programme and closely associated commercial support to the Noise Abatement Society charity. Established in 1959 the NoiseAbatement Society (NAS) is the only charity NGO in the UK, indeed the world, that specialises in every aspect of sound - how it affects us and how the sounds that we make affect others, with a shared singular remit to solve noise pollution worldwide. As the business expands rapidly we are seeking individuals who share our commitment to this mission. In joining us, you’ll be part of a dynamic purpose-led organisation, re-establishing the value of quiet in our everyday lives to shape a better future for all. Who You Are You are a motivated and detail-focused individual with a strong interest in technical processes, product testing, analytics and data-driven work. You are eager to learn quickly and develop your understanding of testing, certification, and product qualification within a fast-paced and growing business. You are naturally proactive, adaptable, and dependable, with the ability to balance teamwork and independent working. You take pride in accuracy and organisation, and you are confident working with data, spreadsheets, and structured systems to support technical operations. You enjoy collaboration and building positive working relationships, while also being comfortable taking ownership of tasks and seeing them through with minimal supervision. You are curious, hands-on, and flexible, willing to get involved in a wide range of duties as the role evolves. As part of a growing international organisation, you are excited by the opportunity to work with global manufacturers across multiple sectors and markets, contributing daily to a busy UK HQ team where no two days are the same. The Role Product Testing & Certification Support • Assist with the testing and qualification of appliances, technologies, and products for Quiet Mark certification, • Support the Technical Manager in reviewing products against certification criteria and technical requirements, • Contribute to the end-to-end certification process, ensuring accurate documentation and tracking of product status Testing Coordination & Logistics • Arrange and coordinate test days at QM with overseas testing partners and external laboratories, • Manage scheduling, preparation, and logistical coordination for Quiet Mark HQ and product testing activities, • Oversee the receipt of incoming test samples and ensure correct handling, storage, and tracking, • Organise the return of tested products to manufacturers in a timely and efficient manner Data, Systems & Category Management • Maintain and regularly update large-scale databases covering hundreds of product categories, including home technologies and building sector classifications, • Ensure category data is reviewed and updated on a weekly basis to reflect the most current information, • Work closely with internal teams to ensure consistency and accuracy across all product records and systems, • Support the licensing team in updating product information within internal databases and data management systems, • Provide regular updates and reports to team members on category changes, product status, and database developments Technical & Building Sector Support • Assist in processing building sector acoustic assessments in collaboration with the Technical Manager and/or Certification and Building Sector Managers, • Support the interpretation and organisation of technical assessment data for building-related product categories, • Help ensure alignment between building sector evaluations and Quiet Mark certification standards Internal & External Communication • Support the Technical Manager with responses to public and technical enquiries, ensuring accurate and timely information is provided, • Assist in maintaining clear communication between internal teams, external laboratories, manufacturers, and stakeholders, • Ensure all relevant parties are kept informed of testing progress, outcomes, and product status updates Key Skills & Qualifications • Good general level of education. Maths, science and technical degree being a bonus, • Fully competent in MS Excel and other basic software, • Ideally experienced in corporate technology or acoustics sector or similar, • Preference would be given to individuals with technical experience as a technical assistant and interest in acoustics, science, products, technology is preferable, • Demonstrable ability to learn quickly, absorb new skills, and keen to train in an exciting new field of expertise, • Excellent time management skills and attention to detail, • Experience of fast paced work environment and meeting deadlines, • Can follow instructions and procedures accurately, with positivity and in a timely, professional and efficient manner Perks • Salary: - £25,000 - £28,000 according to experience, • Contributory Pension, • Holidays: 25 Days plus Bank Holidays, • Location: This role is primarily remote and home based, however we require the candidate to live within a comfortable regular commutable distance of the ‘Quiet House’ U.K. HQ labs based in Hassocks, West Sussex

🚀 We’re Hiring: Data & DevOps Engineer (Biotech) Help shape the future of immune therapies. A fast-growing biotech company is on a mission to tackle immune dysfunction — a root cause of many cancers, autoimmune conditions, and infectious diseases. By developing first-in-class antigen modulation technologies, the team is pioneering a new approach to controlling how the immune system recognises and targets cells. As the company enters its next phase of growth, we’re looking for a Data & DevOps Engineer to join the IT function and play a key role in building scalable, secure, and reproducible data systems that support cutting-edge science. 🔍 The Role This position sits at the intersection of IT, data, and scientific teams (including Bioinformatics). You’ll lead on designing and delivering modern data infrastructure and DevOps practices that enable high-quality, reproducible research and analytics. 🛠 What You’ll Be Doing • Design and maintain secure, scalable cloud infrastructure (AWS), • Build and optimise CI/CD pipelines for scientific workflows (e.g. Nextflow), • Implement containerisation (Docker) for reproducibility and traceability, • Develop infrastructure-as-code (e.g. CloudFormation), • Architect data pipelines and platforms for structured and unstructured data, • Integrate analytics tools (e.g. Power BI, Spotfire, Microsoft Fabric), • Enhance data governance, lineage, and auditability, • Collaborate closely with scientists and bioinformaticians, • Produce clear technical documentation, • Manage external vendors supporting cloud infrastructure, • Continuously improve systems and processes ✅ What We’re Looking For • Experience in DevOps, Platform Engineering, or similar within biotech, pharma, or life sciences, • Strong expertise in AWS, Docker, and CloudFormation, • Hands-on experience with Linux systems and CI/CD pipelines, • Experience designing data pipelines and ETL processes, • Understanding of data modelling and master data management, • Ability to collaborate effectively with scientific stakeholders ⭐ Nice to Have • Experience in regulated or research-driven environments (data governance, reproducibility), • Exposure to Microsoft Fabric, Azure data services, or modern BI tools, • Experience with AI services (e.g. Amazon Bedrock), • DevOps/security certifications, • API integration experience 🌱 Why Join? • Be part of a company driving a fundamental shift in disease treatment, • Work at the cutting edge of science, data, and engineering, • Collaborate with world-class researchers and technologists

Are you an experienced Electron Microscopy Scientist seeking a dynamic customer-facing role? This is an exciting opportunity to join a fast-growing, cutting-edge technology business developing advanced imaging software for electron microscopy. In this is a hands-on, customer-facing role you’ll provide pre-and-post sales support to customers. You will sit at the intersection of science, software and applications, helping translate innovative technology into real-world impact across academic research and industry. Key responsibilities include: • Acting as the technical bridge between customers and internal R&D teams, • Supporting installations, configuration and troubleshooting of advanced microscopy software, • Delivering product demonstrations, training sessions and workshops (remote and on-site), • Working closely with customers to understand workflows and recommend optimised solutions, • Feeding back insights to support product development and new feature design, • Supporting pre-sales activities with technical expertise, • Contributing to technical documentation and testing of new software releases, • Representing the business at conferences, workshops and industry events You will bring: • Degree in a relevant scientific discipline (e.g. Physics, Biology, Materials Science, Engineering or similar), • Strong hands-on experience with electron microscopy (TEM, SEM, STEM, FIB-SEM), • Experience with Python and image/data processing workflows is desirable, • A problem-solving mindset with the ability to apply complex techniques in practical settings, • Confident communication skills, • Solid understanding of imaging workflows, analysis software and data handling, • Flexibility to travel (~30%) and engage with customers across the UK and beyond If you’re looking for a role where you can combine technical expertise with real-world impact, and be part of a genuinely innovative, growing team, we’d love to hear from you. Apply now or get in touch for a confidential chat. Key words: Focused Ion Beam, Transmission Electron Microscopy, Scanning Electron Microscopy, light microscopy, microscope, applications, scientist, engineer, senior scientist, hybrid, travel, customer, UK, North West, Midlands, East Anglia, Oxford, Cambridge, Hertford, Manchester, Liverpool, Nottingham, Sheffield, York, Leeds, Harrogate. VRS9246DJ

We’re Hiring: Business Development Manager – Licensing (Remote | United Kingdom) Are you passionate about translating cutting-edge science into strategic partnerships? We’re working with a fast-growing, innovation-driven biotech organization seeking a Business Development Manager – Licensing to play a pivotal role in expanding their global footprint. This is a unique opportunity to operate at the intersection of science and business, driving licensing and commercialization strategies for a diverse portfolio of advanced antibody assets across areas such as immuno-oncology, autoimmune diseases, neurology, and more. What You’ll Do • Identify and develop external opportunities including out-licensing and co-development deals, • Lead business case development, including strategic analysis, risk assessment, and executive recommendations, • Drive cross-functional due diligence and alliance management across R&D, Clinical, Regulatory, and Finance, • Manage deal processes end-to-end: from initial outreach to negotiation and closure, • Shape and refine business development & licensing strategy aligned with corporate goals, • Represent the organization at global conferences and build strong industry partnerships What We’re Looking For • PhD in pharmacology, immunology, cancer biology, or related field, • Strong expertise in antibody drug discovery and development, • Ability to translate complex biological data into compelling licensing narratives, • Familiarity with modalities such as mAbs, bispecifics, and ADCs, • Strategic mindset with the ability to align science with market opportunities, • Bilingual in Mandarin and English If you’re ready to shape the future of biotech partnerships and drive meaningful innovation, we’d love to hear from you. Interested? Apply or reach out directly to learn more. 📩

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

About Quantiphi: • Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions that help organizations solve what truly matters. We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI—driving measurable outcomes at the very core of their operations., • Since our founding in 2013, Quantiphi has tackled some of the world’s most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. Our work is rooted in delivering accelerated, quantifiable business value—not just technology for technology’s sake., • Headquartered in Boston, Quantiphi is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, Healthcare & Life Sciences, CPG, MFG, TME etc. As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world impact. We have been recognized with: • 3x AWS AI/ML award wins., • 3x NVIDIA Partner of the Year titles., • Recognized Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst and independent research firms., • We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators., • We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023. Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here! For more details, visit: ___ or ___. Role: MLOps Architect - AWS Experience Level: 8+ years Employment type: Full Time Location: Remote (UK) Description: • We are seeking an experienced MLOps/AIOps Architect who can drive end-to-end implementation of MLOps strategy and also contribute broadly across other enterprise AI/ML programs. This role demands a strong architectural mindset, hands-on technical depth, and the ability to design scalable, cloud-native machine learning operations across traditional ML and modern LLM workflows., • The ideal candidate will bring experience with SageMaker-based MLOps pipelines, evaluation of equivalent tooling stacks, hybrid MLOps/LLMOps automation, CI/CD orchestration, governance, monitoring, automation and production-grade scalability patterns. Key Responsibilities: • Architect and implement the MLOps strategy for the programme, ensuring alignment with the project proposal and delivery roadmap., • Design and own enterprise-grade ML/LLM pipelines covering model training, validation, deployment, versioning, monitoring, and CI/CD automation., • Build container-oriented ML platforms (EKS-first) while evaluating alternative orchestration tools with similar capabilities (Kubeflow, SageMaker, MLflow, Airflow, etc.)., • Implement hybrid MLOps + LLMOps workflows, including prompt/version governance, evaluation frameworks, and monitoring for LLM-based systems., • Serve as a technical authority across multiple internal and customer projects, contributing architectural patterns, best practices, and reusable frameworks., • Enable observability, monitoring, drift detection, lineage tracking, and auditability across ML/LLM systems., • Define and implement standards for model deployment, monitoring, governance, and automation to ensure production-grade reliability and scalability., • Collaborate with cross-functional teams — data engineering, platform, DevOps, and client stakeholders — to deliver production-ready ML solutions., • Ensure all solutions adhere to security, governance, and compliance expectations, particularly around handling cloud services, Kubernetes workloads, and MLOps tools., • Conduct architecture reviews, troubleshoot complex ML system issues, and guide teams through implementation across cloud-native ML platforms., • Mentor engineers and provide guidance on modern MLOps tools, platform capabilities, and best practices. Skills: • Expierence working in ML/AI engineering or MLOps roles with strong architecture exposure., • Strong experience in leading enterprise grade MLOps strategy and its execution., • Proven experience in implementing the adoption of enterprise-grade MLOps platforms with client data science teams., • Proven leadership in defining and executing enterprise MLOps strategy., • Demonstrated success in driving the adoption of enterprise-grade MLOps platforms with client data science teams., • Strong expertise in AWS cloud-native ML stack, including: SageMaker(primary), EKS, Lambda, API Gateway, CI/CD (CodeBuild/CodePipeline or equivalent)., • Hands-on experience with at least one major MLOps toolset and awareness of alternatives: MLflow, Kubeflow, SageMaker Pipelines, Airflow, BentoML, KServe, Seldon., • Deep understanding of model lifecycle management (feature engineering->training → registry → deployment → monitoring)., • Experience implementing or supporting LLMOps pipelines, including: prompt versioning, evaluation metrics, automation frameworks., • Deep understanding of ML lifecycle: data ingestion, feature engineering, training, evaluation, model packaging, CI/CD, drift detection, monitoring, and governance., • Strong experience with AWS SageMaker (Pipelines, Feature Store, Model Registry, Model Monitor)., • Experience implementing ML CI/CD pipelines including automated training, testing, validation, model promotion, and endpoint deployment., • Experience working on Infrastructure as Code (IaC) tools and CI/CD pipelines., • Experience with Kubernetes based development., • Experience with feature engineering pipelines and Feature Store management., • Understanding of lineage tracking: training data snapshot, feature versions, code versioning, metadata tracking, reproducibility., • Hands-on experience with AWS Bedrock and Agentcore service., • Experience with CloudWatch, SageMaker Model Monitor, Prometheus/Grafana., • Strong foundation in Python and cloud-native development patterns., • Solid understanding of security best practices, IAM, secrets management, and artifact governance. Nice to have: • Experience with vector databases, RAG pipelines, or multi-agent AI systems., • Exposure to DevOps and infrastructure-as-code (Terraform, Helm, CDK)., • Hands-on understanding of model drift detection, A/B testing, canary rollouts, and blue-green deployments., • Familiarity with Observability stacks (Prometheus, Grafana, CloudWatch, OpenTelemetry)., • SQL and data transformation experience using Snowflake, Databricks, Spark., • Ability to translate business goals into scalable AI/ML platform designs., • Strong communication and cross-team collaboration skills., • Ability to guide engineering teams through technical uncertainty and design choices. What is in it for you: • Make an impact at one of the world’s fastest-growing AI-first digital engineering companies., • Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues., • Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines., • Stay ahead of the curve—immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.

Data Scientist / Machine Learning Engineer – Defence & Security Bristol, London, Manchester DV Cleared Required The Opportunity Join a growing Data Science & Machine Learning team working on some of the most ambitious and mission-critical programmes in the Defence & Security sector. This role offers the chance to apply cutting-edge AI techniques to real-world challenges, delivering impactful solutions that support national security. Key Responsibilities • Apply data science, machine learning, and AI techniques to solve complex, real-world problems, • Research, design, and implement innovative models and solutions, • Work across the full ML lifecycle from requirements gathering and prototyping to deployment and live service support, • Deliver high-quality, scalable solutions with measurable impact, • Collaborate with multidisciplinary teams in agile environments, • Contribute to new ideas, propositions, and project delivery, • Build strong relationships with stakeholders and communicate insights effectively Essential Skills & Experience • Proven experience applying data science or machine learning in Defence, Security, public sector, or academia, • Strong understanding of machine learning models (e.g. Transformers, CNNs, Generative AI) and their practical applications, • Excellent communication skills with the ability to present complex ideas clearly, • Experience working with stakeholders and cross-functional teams, • Track record of contributing to project delivery, innovation, or capability development Desirable Skills • Experience working with text, audio, image, or video data, • Familiarity with cloud platforms (AWS, Azure, GCP), • Strong Python skills and experience with ML libraries and frameworks (e.g. TensorFlow, PyTorch), • Knowledge of statistics and probability, • Experience with ML lifecycle tools (e.g. MLflow, Kubeflow, Argo), • Understanding of Ethical and Responsible AI principles Security Requirements You must hold active UK Developed Vetting (DV) clearance.

Customer Success Engineer Company: Abacus.AI Location: Remote / (US EST Timezone) Type: Full-time About Abacus.AI: Abacus.AI is an enterprise AI platform that transforms how businesses build and deploy AI systems. Our platform automates AI development through advanced generative AI technology, eliminating the need for extensive technical expertise. Our core offerings include ChatLLM Teams with access to leading AI models, DeepAgent for autonomous task execution, and customizable AI agents for chatbots, workflows, and enterprise automation. We also contribute to the AI community through LiveBench.ai benchmarking and open-source projects like Dracarys and Smaug. We make sophisticated AI and machine learning capabilities accessible to organizations regardless of size or technical resources. Role Overview: We’re looking for a Senior Customer Success Engineer (5+ years experience) to serve as the primary technical advocate and strategic partner for our enterprise customers. In this role, you will be responsible for the long-term health of the account, ensuring that our AI solutions are successfully integrated into the customer’s daily workflows and continue to deliver high-level business value. Key Responsibilities: • Lead Executive & Technical QBRs: Drive Quarterly Business Reviews to showcase ROI, review usage metrics, and align our product roadmap with the customer’s evolving business goals., • Drive Super Assistant Rollout: Act as the strategic lead for deploying our Super Assistant across customer teams, providing hands-on guidance on best practices, user enablement, and change management to ensure broad adoption., • Proactive Health & Issue Monitoring: Continuously monitor account health to identify ongoing technical friction or blockers; collaborate with our internal Data Science and Support teams to resolve issues before they impact the customer experience., • Technical Bridge & Orchestration: Serve as the high-level technical point of contact who translates customer needs into actionable tasks for our DS team, ensuring that the actual technical execution remains aligned with the customer's strategic vision., • Expansion Discovery: Partner with the Sales team to identify new use cases for our AI capabilities, helping customers expand their footprint and see deeper value from the Abacus platform. Required Qualifications: • Strategic Technical Communication: Exceptional ability to bridge the gap between technical and non-technical stakeholders; you can explain LLM performance or RAG architecture to an executive just as easily as you can discuss API integration with a developer., • Generative AI & LLM Literacy: Solid understanding of the GenAI landscape, including Hands-on experience with Prompt Engineering, RAG (Retrieval-Augmented Generation) architectures, and the nuances of deploying LLMs in a corporate environment., • Functional Machine Learning Knowledge: A strong conceptual grasp of the ML lifecycle from data prep, model training, and evaluation metrics allowing you to collaborate effectively with internal Data Science teams and guide customers through technical deployment., • Program & Rollout Management: Proven track record of managing technical software rollouts (like an AI "Super Assistant") within large organizations, focusing on user adoption, monitoring ongoing health, and steering account progress through QBRs. What We Offer: • Competitive salary and equity package, • Opportunity to work with cutting-edge AI technology, • Collaborative and innovative work environment, • Professional development and learning opportunities

About Plessey We’re building the hardware foundation for next-era computing. Plessey is a world-leading technology company driving the next generation of photonic devices and systems. With over 70 years of innovation, we combine research, materials science, process engineering, and manufacturing under one roof. We’re recognised as a global authority in microLED displays, optical computing, and optical interconnects. Join us to work on breakthrough technologies shaping the future of light-based technology and computing. Lead We don’t follow industry trends; we create them, pushing boundaries and setting standards others aspire to. Every team member has the power to make decisions, drive change, and deliver excellence. We support each other, challenge one another for the best solutions, and lead by example. Together, we build industries and technologies that shape the future and scale toward our vision of the next era of computing. Grow We expand our capabilities every day — deepening our expertise, improving how we work, and pushing the boundaries of what’s possible. Curiosity fuels us: we question assumptions, explore new ideas, and innovate with light-based technologies. By investing in and empowering our people, we strengthen Plessey’s impact and help shape the future of optical technology. Trust We operate like a family—honest, reliable, and supportive. We have each other’s backs, own our actions, and uphold the highest standards of integrity and safety. We trust each other to deliver, our customers to challenge us, and our expertise to guide the way. Together, trust enables the collaboration essential for breakthrough innovation and lasting impact. Location Located at our head office and state-of-the-art fabrication facility in Plymouth. About the Role We are looking for a Senior Software Engineer to support the development of automated reliability and characterisation test systems for MicroLED devices. The role combines test software development, instrument control, and data analysis, supporting both the execution of reliability campaigns and the analysis of device performance and degradation. The engineer will work closely with hardware engineers and test engineers to develop software tools that control laboratory equipment, automate test procedures, and analyse large datasets generated during device testing. Key Responsibilities • Develop and maintain automated test software for reliability and characterisation systems., • Interface with laboratory instruments and test hardware using LabVIEW, C++, and Python., • Support the execution of device reliability campaigns and engineering experiments., • Develop tools for data collection, processing, and analysis., • Work with engineering teams to interpret results and identify device behaviour trends., • Contribute to improving the automation and robustness of internal test platforms. Skills, Knowledge and Expertise • Master’s degree in Physics, Electronic Engineering, or a related discipline., • Proficiency in LabVIEW and C++., • Working knowledge of Python for data processing and analysis., • Hands-on experience with communication protocols such as SPI and I²C., • Experience working with laboratory bench instruments such as power supply units (PSUs), oscilloscopes, pattern generators and multimeters., • Strong analytical mindset with attention to detail., • Ability to work independently with minimal supervision. Advantage • Experience with NI TestStand for automated test environments., • Background or practical experience in semiconductor device testing., • Experience analysing large datasets and developing mathematical models for device behaviour and degradation., • Familiarity with reliability testing methodologies (e.g., lifetime or stress testing).

Aveni is redefining how financial institutions use AI. We build real, production-ready agentic systems that reshape how banks, advisers and financial services firms operate, replacing fragmented processes with intelligent, end-to-end workflows. We have been recognised as Fintech of the Year for two consecutive years and awarded Best Specialist Technology Service at the Professional Adviser Awards 2025. Backed by leading investors including Puma Private Equity, and commercially supported by Lloyds Banking Group and Nationwide Building Society, we previously completed one of Scotland’s largest Series A rounds. Since then, we’ve continued to grow rapidly as adoption of AI in financial services accelerates, and we’re now scaling our team to meet that demand. The Role We’re looking for a Senior AI Engineer (FinLLM / NLP) to help drive the next generation of AI systems powering financial services. This role focuses on developing, fine-tuning and deploying advanced language models that operate at production scale within highly regulated environments. You’ll work alongside our NLP team, software engineers, and product leaders to build cutting-edge solutions that transform how financial organisations use AI. This is a hands-on role where you’ll shape both the technical direction and practical deployment of large language models and NLP systems within our platform. What You’ll Do • Build and optimise LLM-powered systems, • Architect, fine-tune and optimise machine learning models including LLMs and classical ML approaches, • Experiment with modern architectures such as Transformers and Mixture-of-Experts, • Apply efficient training and fine-tuning techniques including LoRA and parameter-efficient methods, • Develop robust evaluation approaches to measure model quality and reliability, • Develop scalable AI systems, • Build and deploy production-grade NLP pipelines and services, • Ensure models operate efficiently with low latency and high availability, • Integrate models into scalable cloud infrastructure and real-world applications, • Data strategy and model training, • Lead the acquisition, processing and governance of large structured and unstructured datasets, • Apply exploratory data analysis and validation techniques to improve training pipelines, • Ensure data privacy and governance standards suitable for financial services, • Engineering best practices, • Contribute to DevOps and MLOps pipelines, • Implement robust version control, testing and CI/CD workflows, • Support reliable deployment and monitoring of models in production environments, • Technical leadership, • Mentor engineers and contribute to the technical growth of the team, • Work closely with product, engineering and data teams to deliver AI solutions, • Stay at the forefront of AI and NLP research, applying new approaches where they add value What We’re Looking For Essential experience • Significant experience building, training and deploying machine learning models, • Strong Python skills with experience using NumPy, Pandas, SciPy and modern ML frameworks such as PyTorch or TensorFlow, • Experience working with large-scale unstructured data, • Experience building and deploying production-ready NLP systems, • Familiarity with API integrations and data acquisition pipelines, • Experience implementing software engineering best practices including Git and agile development, • Experience working with cloud environments (preferably AWS) Nice to have • Experience with containerisation technologies such as Docker or Kubernetes, • Experience with frameworks such as vLLM or NeMo, • Knowledge of financial services NLP applications, • Experience designing evaluation methodologies for LLM outputs, • Experience building intelligent agents or multi-agent systems, • Skills and mindset, • Strong analytical problem-solving skills, • Ability to design scalable, production-ready AI systems, • Clear communication with both technical and non-technical stakeholders, • Passion for AI innovation and continuous learning, • Leadership and mentoring capability Qualifications • MSc or equivalent experience in a relevant field such as AI, Machine Learning, Computer Science, or Data Science Join Us in Making a Difference At Aveni, we believe that diversity drives innovation. We’ve built our business to ensure an inclusive workplace where everyone feels valued and empowered to contribute their best work. If you’re passionate about technology and its ability to drive positive change for the future of financial services, we’d love to hear from you. Even if you don’t meet 100% of requirements, we’d like to hear from you anyway if you believe you’d fit in. Apply now to join us on our mission to transform the financial services industry through AI. Benefits at Aveni What you’ll love: • Remote-first working across the UK, • Work abroad policy, • Co-working spaces available, • 34 days holiday (including flexible bank holidays) and your birthday off, • Company-wide off-sites, • Optional Personal Development Plan, • Flexible benefits platform, • Protection essentials including Life Insurance, Income Protection, Critical Illness cover, and Pension (up to 5% matched employer contribution with optional increased contributions), • Private health and dental care, • Potential share options, • Enhanced family leave

Graduate scheme – Renewables Engineering - London Kick-start your engineering career at the centre of the UK’s transition to low-carbon energy. This opportunity sits within a leading international energy business delivering large-scale renewable projects across the UK. You’ll gain hands-on experience across the full lifecycle of clean energy assets while building the technical and commercial foundations of a long-term engineering career. This is a structured 24-month graduate programme with rotations across key project phases, alongside exposure to the wider business. High performers will progress into a permanent engineering role within the renewables function. What you’ll be doing • Rotating across development, construction and operational phases of renewable energy projects, • Supporting the planning and delivery of wind, solar and battery storage projects across the UK, • Contributing to technical assessments, feasibility studies and engineering design reviews, • Working closely with multidisciplinary teams including project managers, commercial analysts and environmental specialists, • Gaining broader business exposure through a rotation outside of the core renewables team, • Analysing project data and producing reports to support investment and operational decisions, • Identifying opportunities for continuous improvement and contributing ideas to enhance delivery Key criteria • Degree of 2:1 or higher in engineering, renewable energy, environmental science or a related discipline (completed or due to be completed), • Genuine interest in renewable energy and the transition to a low-carbon economy, • Strong analytical and problem-solving skills with attention to detail, • Clear communication skills, both written and verbal, • Ability to collaborate effectively within cross-functional teams, • Proactive, adaptable mindset with a willingness to learn in varied project environments, • Full UK driving licence desirable due to site visits Location London (hybrid working model), with occasional travel to project sites across the UK What’s on offer • £35,000 starting salary plus performance-related bonus, • Structured engineering development programme with clear progression opportunities, • Exposure to end-to-end renewable energy projects from early-stage development through to live operations, • Supportive, collaborative environment with strong mentoring and learning culture, • Hybrid working to support flexibility and balance, • Opportunity to contribute directly to the UK’s energy transition Diversity and inclusion This organisation is committed to creating an inclusive workplace where individuals from all backgrounds can thrive. Applications are encouraged from a diverse range of candidates, and support is available throughout the recruitment process where needed.

📍 Remote | Full-Time 👋 About Us Medify is a mission-driven EdTech company widening access to medicine and healthcare careers. Our platform supports thousands of learners preparing for high-stakes admissions exams, and our engineering team plays a critical role in delivering reliable, scalable, and high-quality learning experiences. Medify Engineering is a team of ten engineers across two teams, and everyone is hands on, including engineering management and the CTO, which helps us keep our processes practical and engineer-friendly. We work to minimise meetings: engineers typically have a 15-minute daily standup for in-progress updates and quick alignment with Product, plus (per two-week sprint) a one-hour refinement with Product, a one-hour planning session with engineering, and a 30-minute company-wide demo. Operational work like deployments, bug triage, and on-call is handled on a rotation, with each person covering one week roughly every two months. 🎯 The Role As a Senior Full Stack Engineer at Medify, you will play a pivotal role in shaping our platform and technical direction. Working closely with the CTO and fellow engineers, you’ll be involved across the full software development lifecycle - from ideation and design through to development, testing, and deployment. This is a fully remote, home-based role, suited to someone who enjoys ownership, collaboration and solving complex problems in a fast-moving environment. Tech stack: Ruby on Rails (backend), frontend transitioning from Ember to React, Postgres database, hosted on AWS. 🧩 Key Responsibilities • Design and develop high-quality, scalable, and efficient software solutions using modern best practices, • Collaborate closely with Product and Design teams to understand requirements and provide technical input, • Contribute to architectural decisions and overall system design, • Conduct code reviews and provide constructive feedback to maintain high code quality, • Troubleshoot, diagnose, and resolve software issues efficiently, • Develop and maintain automated tests to ensure performance and reliability, • Mentor junior engineers and share technical knowledge and best practices, • Participate in agile planning, backlog management, and delivery updates, • Stay up to date with emerging technologies and software development best practices, • Support recruitment by contributing to interviews and selection decisions 🧠 Core Competencies • Excellent problem-solving and analytical skills, • Strong communication and collaboration skills, • Ability to thrive in a fast-paced, agile environment, • Leadership and mentoring capability, • High attention to detail and quality 🎓 Qualifications • BS/MS degree in Computer Science, Engineering, or a related field is desirable but not required 🛠️ Experience & Knowledge • 5+ years’ experience in software development, • Extensive experience with modern programming languages and frameworks, • (Ruby on Rails and React highly desirable), • Proven track record of building scalable, efficient software systems, • Strong understanding of the software development lifecycle and agile methodologies, • Experience working with cross-functional teams (Product, Design, Engineering), • Experience recruiting and mentoring junior engineers is a plus 💡 Skills • Proficiency in modern programming languages and frameworks, • Strong grasp of data structures, algorithms, and software design principles, • Experience with databases, APIs, and networking, • Knowledge of software testing methodologies and tools, • Familiarity with DevOps practices and tooling, • Ability to learn and adapt quickly to new technologies, • Clear, confident written and verbal communication ✅ What We Offer • Competitive salary: £70,000–£85,000 depending on experience, • Annual leave: 25 days, rising to 28 days over three years, • Fully remote, flexible working, • Pension scheme, • Professional development sponsorship and matched charity funding, • Private health and dental care after one year of employment

Accelerant is seeking a Product Area Lead Architect to provide hands on, operational architectural leadership for our Insights, Analytics & Workflows product area. This role operates at a Principal level, influencing architecture and execution across multiple autonomous product teams. You will work closely with team architects, engineering managers, product managers, and Data Science teams to ensure teams move fast without fragmenting the architecture. This is not an ivory tower architecture role. It is highly collaborative, pragmatic, and operational, focused on identifying architectural gaps, managing dependencies, and enabling teams to execute confidently within a shared architectural framework. You will champion standards based architecture, leveraging web standards, open protocols, and industry conventions to build interoperable, accessible, and future proof systems. Key Responsibilities Operational Architectural Leadership • Ensure architectural alignment across product teams, partnering closely with team architects and engineering managers, • Proactively identify architectural gaps, technical debt, and quality risks; drive resolution through collaboration and influence, • Manage cross team technical dependencies to enable independent, parallel execution, • Translate architectural strategy into clear, actionable guidance that teams can apply sprint by sprint Cross Team Coordination & Alignment • Facilitate architectural discussions and resolve technical conflicts across teams through principled, pragmatic decision making, • Act as an escalation point for complex cross team technical challenges, • Ensure architectural decisions are clearly communicated, understood, and consistently applied Design and Innovation • Define and maintain architectural patterns across backend services, APIs, data platforms, and front end systems, • Design scalable, resilient systems for analytics, workflow orchestration, and intelligence features, • Guide decomposition of legacy systems into well defined services and domains, • Evaluate technologies and data stores, favoring open standards and long term maintainability, • Architect distributed systems with focus on reliability, fault tolerance, and scalability Standards & Governance • Establish API design standards ensuring consistency, discoverability, and ease of integration, • Define front end standards prioritizing web platform capabilities, progressive enhancement, and accessibility (WCAG), • Create governance frameworks that balance standardization with team autonomy, • Drive adoption of industry standards (OAuth2, OpenID Connect, OpenTelemetry, JSON:API) over proprietary alternatives Technical Leadership • Partner with engineering teams on design reviews, PR reviews, and implementation guidance, • Establish standards for cross cutting concerns: API versioning, auth, observability, error handling, and resiliency patterns, • Collaborate with platform and DevOps teams on containerization, CI/CD, and cloud native deployment, • Produce clear technical design documentation that drives alignment and knowledge sharing, • Mentor engineers and raise the overall architectural maturity of the organization GenAI, ML & AI Architecture • Architect customer facing GenAI features using LLMs, including RAG pipelines, prompt engineering frameworks, and conversational AI interfaces, • Define patterns for ML model integration: serving endpoints, API contracts, versioning, and health monitoring, • Partner with Data Science to translate models into production grade features with clear integration contracts and deployment workflows, • Establish standards for responsible AI, including evaluation criteria, privacy guardrails, and LLM output validation AI Transformation & Productivity Leadership • Scale AI driven development workflows across teams, ensuring engineers leverage AI coding tools effectively, • Guide team architects and coach senior engineers on using AI tools to enhance productivity and code quality, • Work hands on with teams to identify opportunities for AI to solve operational challenges and improve velocity Solution Evaluation & Quality Assurance • Evaluate and recommend technologies to enhance capabilities across analytics, workflow, and intelligence domains, • Ensure architectural integrity through code reviews, assessments, and continuous monitoring, • Proactively identify technical risks and devise strategies for reliability, security, and performance Technical Requirements Full Stack SaaS Architecture: • Strong proficiency in modern JavaScript/TypeScript and Node.js, • Deep knowledge of web platform fundamentals and browser native capabilities, • Experience designing and evolving well structured APIs for platform integrations Architectural & Systems Thinking: • Deep knowledge of architecture principles, design patterns, and distributed systems, • Proven ability to make pragmatic tradeoffs in complex, evolving systems, • Experience in cloud native environments, preferably AWS AI Enabled Engineering: • Demonstrated experience using AI coding tools (GitHub Copilot, Cursor, Claude, etc.), • Understanding of AI applications for development productivity and code quality improvement Qualifications • 8 to 12+ years in software engineering and architecture roles, • Proven experience operating across multiple agile teams in an architectural leadership capacity, • Track record of managing cross team dependencies and bridging architectural vision with day to day execution, • Proven ability to drive AI adoption and transformation within engineering organizations, • Excellent communication and facilitation skills with ability to align work across distributed teams, • Pragmatic, operational mindset with strong problem solving abilities, • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

Job Title:Snowflake/Dataops Data Engineer Technical Lead Department:Delivery Reporting to:Professional Services Manager About the role We are looking for a Client Technical Lead to join our delivery team ensure the technical standards and project approach are implemented in the best possible way. You will be providing daily supervision and mentoring of one or more the technical project team(s). This includes reviewing, maintaining or creating a System Architecture and maintaining close relationships with the Project Manager and Business Development and Account Manager. You will be contributing to Agile User-Story and Task grooming, estimations and sprint planning, technical delivery and retrospective reviews both commonly with and without direct Customer involvement. You will be drawing upon and contributing to Datalytyx General and Technology specific Delivery Guides to ensure that best practices approaches are maintained and common project dangers are avoided. You will be working within the 2-week sprints to get the best work from yourself and the technical team members and be committed to completing shared multi-client sprint deliverables. You will be proactively working to know your client’s business and technical needs and be looking for potential additional scope and opportunities that can become future opportunities to make Datalytyx and our Customers successful in our shared relationship. You spot potential engagement issues or blockers early on in planning and sprint execution and help our Project Manager(s) define mitigation steps to ensure joint delivery success. You’ll pro-actively work to build up knowledge of the business, including how our commercial and production teams work. Of course to get to know your colleagues and customers well, you’ll occasionally travel between our two offices and to customer sites. Who are we looking for We are looking for someone who is keen to join the team and learn about what we do. Someone comfortable working with technical staff and customer staff and be confident gathering and representing technical requirements and our resulting deliverables. You will be someone who thrives on working as part of a team to continuously improve quality, demonstrate an eye for detail and be a completer-finisher. We are looking for someone who the technical team can rely upon, demonstrates a positive can-do attitude. You might be a technical consultant who can grow within the role on simple client projects and learn demonstrate the above attributes on a daily basis. You will have a keen eye for the technology used and shape of a client engagement. You will be able to spot potential “broken windows” early on in client technical engagements. You enjoy making a difference to the products and integrations our customers are using. You will have a solid grounding in Computer Science, either from a formal education background or through experience in your career. You will have experience of Big Data Cloud technology, cloud and project/issue tracking systems (we use Jira). What you’ll be doing • Working with DataOps.live and Snowflake to deliver amazing analytic data solutions, • Work on agile projects, looking to deliver business value fast, • Reviewing, maintaining or creating a System Architecture, • Evangelise and contribute to Snowflake, Dataops, DBT best practice, • Daily supervision and mentoring of one or more the technical project team(s), • Contribute and participate in 4-eyes code promotion reviews of GIT Merge Requests, • Identifying and tracking Tasks to manage and resolve technical debt in the solution, • Maintaining close relationships with the Project Manager and Business Development and Account Manager, • Contributing to Agile User-Story and Task backlog grooming, • Participate and lead Team estimations, • Sprint planning, • Creating project from templates and implementing 4-layer modern data architecture ELT data solutions, • Deliver CI/CD data pipelines, implementing a layered ELT data architecture, • Ingesting data from external sources such as Relational Databases, files, Kafka and other sources, • Writing data processing routines with languages such as python, • Collaborate with data source Subject Matter Experts (SME) to discover and understand the data, • Model and transform data using SQL and DBT, • Collaborate with colleagues in peer code reviews and pair programming sessions, • Creating example dashboards using visualisation/BI tools to enable customers to enhance and self-serve further visualisations, • Support and enable Data Science team(s), • Review and resolve data pipeline failures and data test failures, • Optimise and improve data pipelines, • Utilise Snowflake best practices and features to optimise credit usage and performance, • Work with Data Consumers to optimise queries and improve consumption of data Technical skills • A background in SQL and principles of data warehousing, • Snowflake design and engineering experience or certification in Snowpro Core, • Experience in data modelling and ELT, • Analytical and Structured approach to work, • A team player able to perform peer code reviews and provide constructive mentoring, • 5 years’ experience within Data & Analytics and DBT, • Desirable, • Experience of ETL design and dev, including Test-Driven development, • Deep understanding of relational as well as NoSQL data stores, methods and approaches (star and snowflake, dimensional modelling), • Experience of programming languages including Object-Oriented language (.Net. Java, C, Python), • GIT experience, • Good knowledge of DevOps / DataOps principles with working knowledge of Docker and Linux, • Hands on experience with DBT, • Expertise in Snowflake advanced concepts like setting up resource monitors, RBAC controls, virtual warehouse sizing, query performance tuning, • Expertise in deploying Snowflake features such as data sharing, • Experience with data security and data access controls and design, • Experience with AWS or Azure data storage and management technologies such as S3 and ADLS, • A track record of achievement and recognition within the IT industry as evidenced by significant promotion since leaving University, • A strong academic track record including the achievement of a good honours degree or equivalent, • Certification in Snowpro Advanced Architect or Snowpro Advanced Data Engineer

Pricing Manager - Halifax We have an exciting opportunity to join us here at Covéa Insurance as a Pricing Manager , within our Pricing Technical Modelling Team! This hybrid role offers flexibility, with only one or two days per month spent in our Halifax or Reading office. At Covéa, balance matters. We know life is busy, so we’re open to flexible hours, different working patterns, and arrangements that fit your circumstances. Many of our colleagues already work flexibly and we’re always happy to explore what works best for you. At Covéa Insurance , we’re all about protecting what matters most - whether it’s your home, your car, or your business. With our award-winning customer service and a wide range of insurance products, we’re here to make a real difference. In this role, you’ll be working in a team where you will be focusing on the delivery of our key strategic objectives. Step into a role where your potential is valued and your growth is supported. What does a day-to-day look like? * Collaborate with the Senior Pricing Manager and senior stakeholders to implement modelling and rating changes that enhance loss ratio, risk selection, and business growth. * Lead and develop a diverse team of pricing specialists within the Technical Pricing Department, ensuring capability progression, alignment with company values, and a culture of continuous improvement and agility. * Strengthen pricing capabilities by establishing best‑practice methodologies, governance frameworks, and robust controls. * Leverage internal and external datasets — including broker‑specific data — to enhance predictive pricing models and support profit and growth objectives. * Represent Pricing as a subject matter expert in key forums, providing technical guidance and translating complex information for non‑technical stakeholders. * Maintain expertise in Pricing and Data Science tools (e.g., WTW Radar, SQL, Python, Databricks) while staying current with market and technological trends to drive innovation and optimise pricing infrastructure. What will help you stand out? * Demonstrates excellent numerical and analytical skills with strong attention to detail and accuracy. * Possesses expert understanding of predictive modelling and machine learning techniques relevant to technical rating for motor and home insurance products. * Shows exceptional critical thinking ability, intellectual curiosity, and strong problem‑solving capability. * Communicates effectively and builds strong interpersonal relationships across teams and functions. * Self‑motivated leader with the ability to manage, develop, and support individuals and teams while remaining effective under pressure; collaborates confidently with senior stakeholders and adapts to evolving business needs in a competitive market. * Holds a minimum 2:1 bachelor’s degree (or equivalent) in a numerical discipline, or equivalent experience; brings project‑management skills (advantageous) and a commitment to continuous learning in analytics, data science, AI, and emerging technologies. Not sure if you tick every box? That’s okay! At Covéa, we understand that not every candidate will meet every requirement listed. If this opportunity excites you and you feel you could be a great fit, we warmly encourage you to apply. We are committed to building a diverse and inclusive team where everyone has the chance to thrive. Why join us? * Flexible working – 36.25 hours a week with flexitime & hybrid options * Annual pay review – Plus performance bonuses (up to 30% depending on level) * Generous holidays – 25–27 days + bank holidays, with buy/sell options * Pension perks – 7.5% employer contribution, rising to 9% with your input * A culture where everyone belongs – We're committed to diversity, equity and inclusion, with real action, employee-led community groups, and ongoing learning to make Covéa a place where everyone can thrive * Mental & financial support – Through our dedicated Wellbeing group * Career growth – Training, qualifications and apprenticeships to help you thrive * Health & wellbeing – Private medical cover, 24/7 Virtual GP, health checks, flu jabs & more * Drive in style – Tusker Car Scheme with fully maintained insured vehicles * Extra savings – Gym discounts, Cycle to Work, and retail offers via Perkpal * And much more ! Excited about this opportunity? So are we! Apply today and be part of our journey. As a Disability Confident Employer, we’re committed to fair and accessible recruitment. If you need any adjustments, support or alternative application options during the Recruitment process, then please reach out to our Recruitment Team at Applicants must currently reside in the United Kingdom and possess full and unrestricted right to work in the UK. Unfortunately, we are unable to offer Visa sponsorship for this role. Salary: Dependant on Experience Working hours: 36.25

Senior Core Systems Developer Remote - UK or Europe About us At Auros, we’re dedicated to advancing the cryptocurrency ecosystem through unparalleled liquidity and market-making services. We’re one of the largest participants in the market, trading across 10+ global locations, facilitating 3-4% of global daily volumes, and have connectivity to over 50 venues. What sets us apart, though, is our culture. We believe in hiring smart people and empowering them to do their best work. From day one you’ll have the autonomy and support to really excel. Our relentless focus on delivery drives us to continuously push boundaries and achieve exceptional results, all while offering abundant opportunities for personal and professional growth in the dynamic realm of digital assets. The Opportunity • Develop trading system infrastructure in Python and C# as directed., • Work with traders, middle office and other stakeholders to understand the core problems that each of the teams is facing, in both Cefi and Defi environments and design solutions., • Deploy trading system components in to our production environment., • Be responsible for troubleshooting system issues as and when they occur., • Identify opportunities for system improvements., • Engage with the team during system design discussions, code reviews, trading idea brainstorms. Who you are Our ideal candidate will have: • Software engineer with 5+ years experience in developing clean, maintainable, performant code., • You have 3+ years experience developing in both Python and C#., • Good programming skills, with a strong understanding of data structures and algorithms., • You can find the balance between delivering clean, testable, reliable code and rapidly deploying new system features to take advantage of market opportunities., • You are reliable, take pride in delivering robust software and are willing to be on call to support the systems you develop., • You’re able to precisely articulate software concepts and designs., • You have a Bachelor's degree (or above) in Computer Science, Software Engineering or similar, with excellent results. What We Offer in Return • Opportunity to work at the forefront of the digital asset industry., • Remote and flexible work., • Autonomy and a flat structure means you can contribute your ideas from day one and help shape the foundation that will power our future business. At Auros, we value nimbleness, drive for success, owner mentality, and collaboration. Join us in shaping the future of financial services across Asia and beyond!

Location • Remote, but requirement to meet up once a month for in-person collaboration day, • UK based About Akixi Akixi is a leading provider of SaaS analytics solutions for cloud-based communication platforms, helping service providers and enterprises gain actionable insights from their telephony and collaboration data. Our solutions span Microsoft Teams, Cisco BroadWorks, Webex Calling, and CRM integrations — delivering real-time and historical analytics that improve customer experience and business performance. We are expanding our platform to include advanced AI capabilities — voice and chat assistants, intelligent analytics, and predictive insights — and are seeking an AI Engineer to define and deliver this vision. Job Summary & Purpose Own and drive Akixi’s AI and ML strategy — from concept and architecture through hands-on prototyping and deployment — to embed intelligence into Akixi’s products and analytics platforms. As the AI Engineer, you will define and execute Akixi’s AI roadmap, combining leadership of architecture and engineering practice with hands-on development of prototypes and production features. You’ll partner with Product, Data, and Platform Engineering to design and integrate AI-driven capabilities such as voice/chatbots, natural-language analytics, and predictive models. This role balances strategic technical direction with hands-on implementation, ensuring Akixi’s AI initiatives deliver tangible business and customer outcomes. Key Responsibilities • Lead the definition and delivery of Akixi’s AI strategy and technology roadmap., • Architect scalable AI solutions integrated into Akixi’s SaaS analytics platform., • Prototype, develop, and integrate AI-driven components such as chatbots, voice assistants, ML models, and LLM-based analytics., • Apply prompt engineering and model-tuning techniques to optimize chatbot and LLM behaviour., • Conduct research, proof-of-concepts, and feasibility studies for emerging AI technologies., • Collaborate with Product Management to scope AI features and align them with business goals., • Partner with Data Engineering to operationalize models, manage training data, and implement monitoring and retraining pipelines., • Work closely with Development, DevOps, and QA teams to ensure smooth CI/CD integration and deployment of AI components., • Establish standards for AI code quality, ethics, and data governance., • Mentor engineers working on AI-related projects, fostering technical excellence and innovation., • Evaluate external AI vendors, tools, and frameworks for adoption or integration., • Stay ahead of developments in AI/ML, LLMs, and applied analytics, translating trends into practical opportunities for Akixi. Required Skills & Experience • 4+ years in software engineering, with at least 2+ years focused on AI/ML or data-driven product development., • Proven expertise in developing and integrating AI solutions such as chatbots, voicebots, ML models, or LLM-based analytics., • Strong proficiency in Python (preferred) and/or JavaScript/TypeScript., • Hands-on experience with AI frameworks (e.g. TensorFlow, PyTorch and/or LangChain) and LLM APIs (e.g. Azure OpenAI, OpenAI API, Anthropic and/or AWS Bedrock)., • Experience with Microsoft Bot Framework, Dialogflow, or similar conversational-AI platforms., • Deep understanding of prompt engineering and fine-tuning of large language models., • Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning., • Familiarity with cloud AI/ML services (e.g. Azure Cognitive Services, AWS SageMaker, and/or GCP Vertex AI)., • Experience deploying and monitoring AI workloads in CI/CD environments (e.g. Jenkins, Docker, Kubernetes, and/or AWS)., • Ability to design data pipelines, APIs, and microservice integrations supporting AI features., • Excellent problem-solving, communication, and cross-team collaboration skills., • Proven ability to lead technically while remaining hands-on in design and coding. Advantageous Skills & Experience • Experience with call/contact-centre analytics, Microsoft Teams Graph API, or telephony platforms (e.g. BroadWorks, Webex Calling)., • Knowledge of data governance, model ethics, and MLOps practices., • Exposure to data visualization and predictive analytics for customer-experience metrics., • Advanced degree in AI, ML, Data Science, or related discipline. Why Akixi At Akixi, you’ll play a pivotal role in transforming how businesses understand and act on communication data. You’ll define and deliver the intelligence layer of a platform used by thousands worldwide — in an environment that values innovation, experimentation, and technical depth. We offer a collaborative culture, hybrid flexibility, and the opportunity to lead meaningful, high-impact AI initiatives from vision to production.

The Opportunity We are an Imperial College London med tech spinout building AI-powered clinical decision-support tools certified as Software as a Medical Device (SaMD). Our platform uses real-world EHR data to identify patients at risk of preventable harm — giving NHS clinicians time to act. We are a small, high-ownership team operating at the intersection of clinical AI and healthcare infrastructure. This is a foundational engineering hire with a clear path to Head of Engineering as we scale. The Role You will own and shape the technical core of a live clinical AI platform — working across backend services, ML infrastructure, and hospital data integrations. You will have a direct line to the CTO and CEO from day one, with real influence over architectural decisions on a system processing real patient data across NHS trusts. What You'll Do 🔹 Own and extend the backend and ML infrastructure of a production SaMD system 🔹 Design and implement integrations with hospital systems (EHR, HL7/FHIR), including partnerships with major healthcare data platforms 🔹 Build and maintain Python/Azure-based services — APIs, data pipelines, monitoring and audit frameworks 🔹 Write software that meets medical device quality standards, producing artefacts that support regulatory submissions 🔹 Collaborate with clinical, data science, and regulatory stakeholders 🔹 Help define engineering culture and processes as the team grows around you What We're Looking For ✅ 5+ years of professional software engineering experience with a strong Python background ✅ Proven experience building and operating production services on Azure or AWS ✅ Comfort with data-heavy systems — pipelines, databases, REST APIs — and a taste for clean architecture ✅ Strong written communication; able to document work to regulatory audit standard Nice to Have ⭐ Experience in a regulated software environment (medical devices, fintech, defence, or similar) ⭐ Familiarity with FHIR/HL7 or clinical EHR systems ⭐ Exposure to ML model deployment or monitoring in production Tech Stack Python · Azure · Terraform · Docker · ML Pipelines · FHIR / HL7 · GitHub Actions What's on Offer 💰 Competitive renumeration package, depending on experience 🏖️ 25 days annual leave + bank holidays 🏥 Access to clinical and academic networks 🔀 Flexible hybrid working, London base Growth Path As we move through our next funding round and scale clinical deployments, the expectation is that you grow into Head of Engineering or equivalent — owning technical strategy, building a team, and sitting at the table for product, regulatory, and commercial decisions.

Haut.AI is a pioneering BeautyTech startup at the forefront of personalized skincare solutions. We combine scientific research with artificial intelligence to deliver innovative solutions that actually work. Backed by leading European VCs and founded by AI scientists, we are positioned at the intersection of two explosive growth markets: AI and beauty tech. We are looking for a Mid-Level Computer Vision/Deep Learning Engineer to join our team. In this role, you won't just be researching models in a vacuum, but own the end-to-end ML lifecycle from prototyping computer vision algorithms to pushing production-ready deep learning models that directly impact our clients and their customers. What You’ll Do: • Build & Innovate: Design, train, and deploy advanced CV/DL models for skin image analysis, tackling challenges in image classification, segmentation, regression, and generation., • Own the Pipeline: Architect and maintain robust, comprehensive training pipelines covering data preprocessing, augmentation, training loops, and validation., • Ship to Production: Optimize and format ML models (using ONNX/TF-lite) for smooth, scalable deployment., • Monitor & Iterate: Track the performance of deployed models in the wild, ensuring high reliability and addressing data drift., • Collaborate & Prototype: Build Proofs-of-Concept (PoCs) and demo applications to translate research into tangible business value, while communicating technical insights to the broader team. What You Bring: • Experience: 3+ years of industry experience shipping ML/DL models to production, with a Bachelor’s degree in Computer Science, Math, Physics, or equivalent background., • Software Engineering: Strong proficiency in Python, enabling you to write clean, production-ready code. You are comfortable with OOP, Git workflows, and containerization using Docker., • ML & Deep Learning: expertise with deep learning frameworks (PyTorch, TensorFlow) and a solid grasp of CNN, transformer and hybrid architectures., • Computer Vision Foundations: Strong working knowledge of standard CV libraries (OpenCV, scikit-image, PIL) and classical CV algorithms (edge detection, thresholding, color spaces)., • Data Analytics Fluency: Experience working with standard data manipulation libraries (NumPy, pandas, scikit-learn, SciPy)., • Communication: Advanced English proficiency to collaborate effectively in a global environment. Bonus Points (Nice to Have) • Hands-on experience with Vision Transformers (ViTs)., • Familiarity with deploying and scaling models on cloud infrastructure (Azure, AWS, or GCP)., • Data visualization skills using tools like Plotly or Gradio. Your Tech Stack: Python, PyTorch, ONNX, OpenCV, Microsoft AzureML, GCP Vertex AI and PostgreSQL. We also heavily utilize modern workflow and productivity tools including Jira, Notion, Slack, GitHub, GitHub Copilot, Codex, Gemini, and OpenAI. Why Haut.AI? • Competitive compensation based on experience and skills., • Fully remote position with flexibility across UK and EU time zones., • Paid PTO., • Be part of a pioneering company revolutionizing the BeautyTech space., • Opportunity to collaborate with a talented, forward-thinking team while making a real difference in the industry., • Make a tangible impact on product development and company growth., • Opportunity to grow your skills and expertise at the intersection of science and beauty. To Apply: Please submit your CV in English for applying. We look forward to hearing from you!

Position Overview: SBS is seeking a skilled AI Engineer to join its Data & AI / Engineering organization in the UK or EU. This role will focus on designing, building, and deploying AI-driven solutions that enhance SBS products and client offerings. The ideal candidate will combine strong software engineering fundamentals with applied AI/ML expertise, enabling the development of scalable, production-grade AI systems in a regulated financial services environment. Location: UK or EU Hybrid/Remote: Remote (Occasional travel required) Responsibilities: AI Solution Development • Design, build, and deploy AI/ML models and intelligent applications across SBS platforms, • Develop solutions leveraging:, • Machine Learning (ML), • Natural Language Processing (NLP), • Generative AI (GenAI / LLMs), • Translate business requirements into technical AI solutions that deliver measurable impact Model Deployment & MLOps • Implement and manage end-to-end ML pipelines, from data ingestion to model deployment and monitoring, • Collaborate with DevOps and engineering teams to ensure scalable, reliable production deployment, • Maintain and optimize model performance, accuracy, and efficiency over time Product Integration • Integrate AI capabilities into core banking, payments, and digital platforms, • Work closely with Product Managers, Architects, and Developers to embed AI into customer-facing solutions, • Support API development and microservices architecture for AI-driven features Data Engineering Collaboration • Partner with data engineers to ensure data quality, availability, and pipeline integrity, • Work with structured and unstructured datasets across large-scale, distributed systems Innovation & Continuous Improvement • Stay current with advancements in AI, GenAI, and emerging technologies, • Contribute to experimentation, prototyping, and innovation initiatives, • Identify opportunities to improve automation, efficiency, and decision-making through AI Qualifications: Software Architecture & Design • Application architecture: Strong grasp of clean/hexagonal architecture, dependency injection, SOLID principles, and protocol-based interfaces. Can design well-structured Python services with clear separation of concerns, testable components, and maintainable codebases. This is not optional — the existing system follows these patterns, and new code must be consistent., • API design: Experience designing and maintaining RESTful API contracts. Understands OpenAPI specifications, versioning strategies, schema evolution, and backward compatibility. Can own the API surface that internal consumers depend on., • System design: Distributed systems thinking — understands event-driven patterns, asynchronous communication, eventual consistency, and the trade-offs of different integration approaches. Can reason about how components interact across service boundaries., • Data modeling: Can design domain models, define data flows between system components, and make pragmatic schema design decisions. Understands how data structures affect downstream consumers and the system's evolution. AI & LLM Application Skills • LLM application development: Hands-on experience building production applications powered by LLMs. Must go beyond API calls — RAG pipelines, chain-of-thought reasoning, structured output parsing, multi-step workflows. Candidates who have only fine-tuned models or only called a single provider’s API do not qualify., • Model-agnostic design: This is a sovereign AI system. The candidate must design against standardized API interfaces (OpenAI-compatible, LiteLLM, or equivalent abstraction layers), not couple to any single provider. Must understand model routing, fallback strategies, and how to build systems that can swap underlying models without application-layer rewrites. Experience limited to a single commercial API (OpenAI, Google, Anthropic) without abstraction is insufficient., • Agentic system design: Demonstrated experience designing multi-step AI systems where the model makes decisions about what to do next. This could be via LangGraph, CrewAI, AutoGen, custom agent loops, or any framework — the underlying patterns (ReAct, plan-and-execute, reflection) matter more than the tool., • Prompt engineering depth: Can demonstrate iterative prompt development for complex tasks. Understands few-shot, chain-of-thought, XML/structured prompting, and the behavioral differences between model families and sizes. Critically, understands that prompt strategies must adapt when moving between frontier and smaller OSS models. Python Engineering Production Python: Strong async Python with FastAPI or equivalent framework. Comfortable with Pydantic for data validation, SQLAlchemy for data access, and structured logging (structlog). Writes clean, testable, well-documented code with proper type hints. This is a software engineering role that builds AI systems — not a data science role that happens to write Python. Safeguards for hallucinated tools, loops, partial completion, and unsafe actions. Understands async trade-offs, batching, streaming, and latency accumulation Engineering Qualities • Works within existing systems: The candidate joins a substantial existing codebase and architecture. They must be comfortable reading, understanding, and extending code they did not write — not lobbying to rewrite it., • Production mindset: Thinks about error handling, retry logic, graceful degradation, observability, and security as first-class concerns. Understands that agentic autonomy creates new failure modes that must be anticipated., • Clear communicator: Can explain technical trade-offs to non-technical stakeholders. Can write clear design documents. Can articulate why an agentic approach is or is not appropriate for a given problem. Company Overview At SBS, we’re more than just a technology company; we’re a global fintech partner helping banks and financial institutions transform, innovate, and grow. With over 5,000 employees worldwide and clients in more than 80 countries, our solutions power everything from digital banking and lending to payments and core banking systems. As part of 74Software, we’re backed by a group of leading software companies delivering mission-critical solutions worldwide. Our focus is on delivering long-term value, leveraging cutting-edge technology, and fostering strong client partnerships. Join us and be part of a collaborative, forward-thinking team shaping the future of finance. Why SBS? At SBS, we’re committed to supporting our employees in every aspect of their lives, from health and wellbeing to financial security and lifestyle perks. We offer benefits that help you thrive at work and beyond, including health coverage, retirement plans, paid time off, flexible work options, career development, competitive pay, and global culture perks. Equal Opportunity Employer We are committed to providing equal opportunities and ensuring a fair and inclusive recruitment process. We do not discriminate on the basis of age, disability, gender, sexual orientation, race, religion, or any other protected characteristic.

Wenham Carter is proud to be supporting a global leader in industrial software in the search for a Director, AI Product - Industrial Intelligence & Platform. This is a high-visibility leadership role shaping how advanced AI is embedded across industrial software products used by some of the world’s most critical infrastructure and asset-intensive organisations. You will sit at the intersection of advanced AI capability and industrial product strategy - defining how cutting-edge machine learning and foundation models translate into scalable, safe, and valuable real-world applications. The opportunity This role is responsible for defining and driving the technical truth behind AI-powered products - including model choices, system logic, and AI capability design from early concept through to production. You will play a central role in shaping the AI product vision and roadmap across a global industrial software portfolio, balancing innovation (0→1) with lifecycle product maturity and enterprise-grade deployment realities. This is a rare opportunity to influence how AI is embedded into complex industrial environments at scale. Key responsibilities • Define and own the technical direction (“technical truth”) of AI capabilities across industrial products, • Shape AI product strategy, roadmap, and requirements in partnership with engineering, data science, and product teams, • Translate emerging AI technologies into viable industrial product opportunities, • Drive AI product requirements (PRDs), prioritisation, and architecture decisions based on customer and domain needs, • Evaluate trade-offs across model performance, data constraints, cost, safety, and scalability, • Identify and mitigate technical, operational, and regulatory risks in AI systems, • Define and track AI product metrics to assess performance and inform roadmap decisions, • Ensure AI capabilities are aligned with industrial safety, security, governance, and compliance requirements, • Mentor and guide junior team members and contribute to a culture of innovation and rigour Key requirements • 10+ years of experience in AI/ML product management or technical product leadership, including 6+ years in senior leadership roles, • Strong technical foundation with recent, hands-on exposure to AI/ML systems (including shipping or influencing production systems), • Deep understanding of modern AI paradigms including foundation models, multi-modal systems, agent-based architectures, and RAG approaches, • Strong Python capability and familiarity with modern ML frameworks (PyTorch, TensorFlow, JAX), • Proven experience balancing innovation (0→1) with mature product lifecycle management, • Strong track record operating in complex, regulated, or industrial environments, • Ability to translate AI capabilities into practical, high-value enterprise use cases, • Exceptional communication and stakeholder influence skills across technical and executive audiences, • Master’s degree in Computer Science, Engineering, Physics or related field (PhD preferred) Why this opportunity? This is a chance to define how AI is productised within one of the most important industrial software ecosystems globally. You will not simply be reacting to trends, you will be shaping how AI is evaluated, prioritised, and embedded into real industrial systems where reliability, safety, and performance matter. This is a role for someone who can operate comfortably between deep technical AI understanding and strategic product leadership, and who wants to see their decisions directly influence real-world industrial outcomes at global scale. To stay updated on roles like this, follow me here on LinkedIn and send me a connection request.

Company Description ShopQuick, a voluntary initiative under Novalink Innovations Limited, is dedicated to leveraging technology to redefine convenience in daily shopping experiences. Focused on innovation and customer satisfaction, the organization emphasizes seamless, user-friendly solutions in retail technology. Based in the United Kingdom, ShopQuick thrives on collaboration and creativity to empower communities and enhance shopping systems. As a volunteer-focused organization, we aim to foster skill development while contributing to cutting-edge technological applications. Role Description This is an on-site volunteer role for an AI/ML Engineer, located in the United Kingdom. The role involves designing, developing, and testing AI and machine learning models; pre-processing and analyzing large data sets; and collaborating with cross-functional teams to integrate intelligent systems into ShopQuick's operations. The AI/ML Engineer will also be responsible for optimizing algorithms, monitoring performance metrics, and staying updated with advancements in machine learning technologies while applying them to real-world challenges. Qualifications • Experience in Machine Learning and Artificial Intelligence, including fundamental concepts and applications., • Proficiency in programming languages like Python or R, with experience in using libraries such as TensorFlow, PyTorch, or Scikit-learn., • Strong data management skills, including data preprocessing, cleaning, and the ability to work with large data sets efficiently., • Familiarity with statistical modeling and algorithm development techniques., • Problem-solving skills, a detail-oriented mindset, and the capacity to learn new technologies quickly., • Excellent communication and teamwork abilities, especially in collaborative and cross-functional settings., • A degree or ongoing studies in Computer Science, Data Science, Mathematics, or related fields is preferred., • Previous experience in retail technology or volunteering roles is a plus.

Principal Hydraulic Modeller UK Flexible Location Salary: £60,000 - £75,000 Are you a Principal Hydraulic Modeller ready to lead major modelling projects and shape technical direction across a high-performing water team? This Principal Hydraulic Modeller opportunity is with a leading consultancy that values technical excellence, trusted leadership and flexible working. The Principal Hydraulic Modeller will play a key role in delivering wastewater and surface water projects across the UK, supporting clients with integrated catchment modelling, network performance and practical asset strategies. For an experienced Principal Hydraulic Modeller, this is a strong opportunity to influence delivery, support team development and build client relationships. Key responsibilities * Lead wastewater and surface water modelling projects from scope to completion * Build, review and approve ICM or InfoWorks models in 1D and 2D * Interpret outputs and develop practical, cost-effective solutions * Oversee surveys, data collection and technical QA processes * Manage budgets, resources and programme delivery * Mentor senior and junior engineers within the team * Support client meetings, proposals and framework development * Maintain strong health and safety and quality standards Candidate requirements * Degree in Civil Engineering, Environmental Science or similar * Extensive experience in wastewater hydraulic modelling * Advanced k...

Senior Hydraulic Modeller UK Flexible Location Salary: £50,000 - £60,000 Are you a Senior Hydraulic Modeller ready for a role where your technical input helps shape better wastewater and surface water solutions? This Senior Hydraulic Modeller opportunity is with a leading consultancy known for strong technical standards, flexible working and a supportive team culture. The Senior Hydraulic Modeller will join a respected water team delivering projects across the UK, with work covering wastewater networks, integrated catchment modelling and surface water systems. For a Senior Hydraulic Modeller seeking varied schemes and genuine responsibility, this is a strong career move. Key responsibilities * Deliver wastewater and surface water modelling projects from start to finish * Build, verify and audit ICM or InfoWorks models in 1D and 2D * Interpret outputs and develop practical, cost-effective solutions * Plan surveys and coordinate data collection activities * Prepare technical reports and client updates * Manage project budgets, resources and programme delivery * Mentor junior engineers and modellers * Maintain quality and health and safety standards Candidate requirements * Degree in Civil Engineering, Environmental Science or similar * At least 6 years of wastewater hydraulic modelling experience * Advanced knowledge of ICM or InfoWorks * Experience supervising and reviewing technical work * Strong communication ...

Immunocore (NASDAQ: IMCR) is a pioneering, commercial-stage T cell receptor biotechnology company whose purpose is to develop and commercialize a new generation of transformative medicines which address unmet patient needs in oncology, infectious diseases and autoimmune disease. Our leaders in R&D are internationally recognised as some of the biotech industry's most successful drug developers. We are creating not just an environment where great minds can interact but an innovation powerhouse answering the big questions. Focused on delivering first-in-class biological therapies to patients, we have developed a highly innovative soluble TCR platform. Our ImmTAX molecules underpin a new generation of precision engineered drugs that harness the immune system to treat a broad spectrum of diseases with high unmet medical need, including oncology, infectious diseases and autoimmune diseases. At Immunocore, we recognize that our employees are our greatest asset. We value the unique contributions each person brings to our team. By embracing Science, Trust, Respect, Integrity, Diversity, and Entrepreneurship (STRIDE), we create an environment where collaboration thrives, ideas flourish, and transformative changes happen. STRIDE represents more than just letters; it embodies our shared identity and drives our mission. We are dedicated to developing breakthrough therapies that transform patients' lives, advancing medicine, and supporting one another in these pursuits. Immunocore is proud to be an equal opportunity employer. As such, we are committed to fostering an inclusive workplace where everyone feels valued, respected, and empowered. We encourage applications from individuals of all backgrounds, regardless of race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, or any other characteristic protected by law. The primary purpose of this role is to contribute to cross functional efforts focused on applying the ImmTAX® platform or other modalities to the development of novel treatments for chronic infections, including HIV and HBV and EBV-associated diseases. The team is involved in multiple stages of the drug discovery and development process, from target discovery all the way to clinical trials. Examples of key preclinical research are published in Yang H et al., Mol Ther. 2016; 24,11; Fergusson J et al., Hepatology 2020; 72,5; Wallace Z et al., Mol Ther 2024; 32, 678. The postholder will plan, design and execute experimental investigations to support the advancement of the Company pipeline, processes and technology capabilities, with guidance from their manager, ensuring that project goals are met within time and budget constraints. They will be expected to demonstrate technical proficiency, rigour in assessing their own data and that of others, scientific creativity and independent thought. This position requires participation and presentation of results at internal meetings, sharing information learned at external scientific meetings and establishing productive relationships with colleagues across Research and other departments. Key Responsibilities: • With instruction and guidance from manager - plan, design, and execute assignments to meet project goals within defined timeframes, • Execute experiments to address key scientific questions and enable project progression, utilizing range of molecular and cellular techniques including some of the following: NextGen sequencing, DD-PCR, qPCR, cell culture, flow cytometry, ELISpots, ELISAs,, • Some work will be conducted in a containment level 3 (CL3 facility) and will require handling of human viruses, • Analyse data, interpret results, and make recommendations, • Proactively expand scientific/technical knowledge in relevant fields including HIV/HBV/EBV related disease biology and drug development through review of scientific literature/ conference updates, peer to peer mentoring, and attendance at seminars/conferences in line with company strategy, • Work effectively in a matrixed team structure and as part of cross functional teams, • Participate and present results at internal meetings, • Establish relationships and possible collaborations within and outside of the company Education, Experience and Knowledge: Essential Qualifications: • PhD in molecular biology, cell biology, genomics, virology, immunology, or related discipline and 0-2 years related experience, • Alternatively, a BSc or MSc with significant work experience in relevant scientific areas Preferred Qualifications: • Knowledge/expertise of Immunology/HIV/HBV/EBV, • Flow cytometry, ELISAs, ELISpots, • Viral integration site analysis

About Plessey We’re building the hardware foundation for next-era computing. Plessey is a world-leading technology company driving the next generation of photonic devices and systems. With over 70 years of innovation, we combine research, materials science, process engineering, and manufacturing under one roof. We’re recognised as a global authority in microLED displays, optical computing, and optical interconnects. Join us to work on breakthrough technologies shaping the future of light-based technology and computing. Our values Lead We don’t follow industry trends; we create them, pushing boundaries and setting standards others aspire to. Every team member has the power to make decisions, drive change, and deliver excellence. We support each other, challenge one another for the best solutions, and lead by example. Together, we build industries and technologies that shape the future and scale toward our vision of the next era of computing. Grow We expand our capabilities every day — deepening our expertise, improving how we work, and pushing the boundaries of what’s possible. Curiosity fuels us: we question assumptions, explore new ideas, and innovate with light-based technologies. By investing in and empowering our people, we strengthen Plessey’s impact and help shape the future of optical technology. Trust We operate like a family—honest, reliable, and supportive. We have each other’s backs, own our actions, and uphold the highest standards of integrity and safety. We trust each other to deliver, our customers to challenge us, and our expertise to guide the way. Together, trust enables the collaboration essential for breakthrough innovation and lasting impact. Location Located at our head office and state-of-the-art fabrication facility in Plymouth. About the Role The Thin Film Ellipsometry Process Engineer is responsible for developing, optimising, and controlling thin-film optical measurement and characterisation processes to support high-yield, high-performance semiconductor device fabrication. This role focuses on ellipsometry-based metrology for deposited thin films across development and production environments. Key Responsibilities • Develop, qualify, and optimise ellipsometry measurement processes for thin films (thickness, refractive index n/k, composition, and uniformity)., • Support R&D and new materials development by providing accurate thin-film characterisation, measurement development, and data analysis., • Own and maintain ellipsometry process recipes, optical models, and control strategies., • Provide accurate metrology feedback to thin-film deposition processes (e.g., PVD, CVD, ALD)., • Analyse film properties including thickness mapping, optical constants, and process-induced variation., • Develop and refine optical models for multilayer thin-film stacks., • Utilise statistical process control (SPC) to monitor tool performance and process stability., • Conduct root cause analysis for measurement drift, model instability, or yield excursions related to film properties., • Collaborate with equipment and process engineering teams to maintain and improve metrology tool performance., • Support new product introduction (NPI) through film characterisation, DOE planning, and process transfer., • Generate technical reports and present findings to engineering and management teams., • Ensure compliance with safety and cleanroom protocols. Skills, Knowledge and Expertise • Bachelor’s or Master’s degree in Materials Science, Physics, Electrical Engineering, or related field., • 3–7+ years of experience in semiconductor or advanced thin-film processing environments., • Strong hands-on experience with spectroscopic ellipsometry., • Solid understanding of thin-film optics, dispersion modelling, and multilayer analysis., • Experience correlating ellipsometry data with complementary techniques (e.g., XRD, AFM, profilometry)., • Strong data analysis and problem-solving skills., • Strong ownership mentality with the ability to work independently in a fast-paced environment., • Adaptable and comfortable with evolving priorities and rapid change., • Excellent cross-functional collaboration skills (working effectively with process, equipment, R&D, and manufacturing teams)., • Clear and confident communicator, able to present technical findings to both technical and non-technical audiences., • Experience with compound semiconductor or dielectric thin films would be an advantage.

Job Description: iOS Engineer at everyLIFE Position Type: Permanent. Location: UK-based Remote. Head Office located in Farnborough, Hampshire. Benefits include: 25 days holiday + 3 additional days over Christmas, early finish Friday, private medical insurance, life insurance, Cycle-scheme, free non-fiction book scheme. Working Hours: Full time Following the successful launch of PASSgenius™, our cutting‑edge suite of AI, data, and automation tools, we’re entering an exciting period of rapid growth. To accelerate what comes next, we’re searching for a full‑time iOS Engineer to join our fast‑moving, feature‑rich app team. The Role • Be part of a team of highly skilled engineers to deliver polished features on consistent basis in a high pace environment. We deploy code every two weeks to thousands of users., • Directly responsible for the development and deployment processes – make sure that the features are shipped optimally, and product stays healthy once they hit production., • Design, review, write and test code. This is hands-on engineering role, and you will be directly involved in the design and development of new features, writing, reviewing and testing code., • Insist on the highest standards and create functional and engaging features that will delight our users., • Provide feedback to teammates to make your team the best version of itself. Desired Skills • Bachelor’s degree in Computer Science or related field, or equivalent experience, • 4+ years of experience with iOS mobile app development, • Good working knowledge of iOS platform, Swift, GRDB, SwiftUI, Combine, • Good communication skills and the ability to work effectively in a remote team environment, • Attention to details – any code that makes it into the product directly impacts the lives of people being cared for, • Strong computer science fundamentals in object-oriented design, algorithms and data structures, • Self-starter, analytical and creative, • Strong team player with a positive attitude, • Experience writing clean, testable, high-quality code, • Good understanding of object oriented and SOLID principles, and clean code architecture, • Experience writing apps using The Composable Architecture, • Good experience with writing unit tests, • Familiar with git and/or git-flow, Bitbucket, JIRA, Confluence, Bitrise, Bugfender Bonus • Experience in Agile methodologies such as Scrum or Kanban, • Good knowledge of test automation using XCUITest, • Good understanding of material design and offline first UX/UI, • Knowledge of Android platform, Kotlin, Room, Coroutines, Koin Our mission is to create effective tools and services that release the potential of care teams. Established in 2014, everyLIFE Technologies is a fast-growth SaaS provider primarily to the UK social care market. We exist to support care services to be the best that they can be. We design, build, release, manage and support software and mobile applications that are crucial parts of the care being given to tens of thousands of people across the UK. We must get it right, every day! Our ideal teammates are thoughtful, humble, curious, achievement-oriented professionals who can both zoom into the details and zoom out to embrace the big picture. We are customer-led and always aim for the highest standard. We believe in being transparent in all our dealings; acting fairly, openly, and honestly in everything we do. Please note that this is a UK based role, and we are only able to accept applicants with the right to live and work in the UK without the need for sponsorship. If you are on a visa and interested in applying for this role, please contact us for further information. If you have any questions, please email Due to the high volume of applicants that we receive, we cannot always guarantee that you will receive a response.

Allegis Group is seeking an AI Data Scientist to provide expertise in Generative AI and applied analytics. This long-term role requires strong data science skills and knowledge of GenAI technologies like GitHub Copilot.

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

Science Lecturers / Teachers - A Level, BTEC & GCSE Location: South Yorkshire Contract: Full-time / Part-time / Temporary & Permanent opportunities Salary: Competitive (dependent on experience and qualifications) Start Date: ASAP / September starts available We are currently recruiting Science Lecturers and Teachers across South Yorkshire to deliver A Level, BTEC, and GCSE Science. Whether your specialism is Biology, Chemistry, Physics, or Combined Science, we have opportunities across schools, sixth forms, and FE colleges. The Role You will deliver high-quality Science teaching across A Level, BTEC, and/or GCSE, supporting learners to achieve strong academic outcomes and progress into higher education, apprenticeships, or careers in STEM. Key responsibilities include: Plan and deliver engaging Science lessons within your specialism Teach A Level, BTEC and/or GCSE Science Differentiate teaching to support mixed-ability learners Assess progress and provide clear, constructive feedback Support learners with practical work, coursework, and exam preparation Contribute to curriculum delivery and departmental success Maintain a safe, inclusive, and engaging learning environment Essential Requirements QTS, QTLS, PGCE, or equivalent teaching qualification Experience teaching A Level, BTEC or GCSE Science Strong subject knowledge in your specialism Confident delivering both theory and practical lessons Excellent classroom management and communication skills Enhanced DBS (or willingness to obtain) Desirable Experience within Further Education or Sixth Form settings Ability to teach across multiple levels (GCSE, BTEC, A Level) Strong track record of learner achievement and progression What's on Offer Opportunities across schools, sixth forms, and FE colleges Flexible working options (permanent, temporary, part-time) Competitive salary and pay rates Supportive departments and leadership teams Access to modern labs and teaching facilities Ongoing CPD and career progression opportunities Ready to Apply? If you're a passionate Science Teacher or Lecturer looking for your next opportunity, we'd love to hear from you. Apply today or get in touch to explore suitable roles. Important Notice Dovetail and Slate is a specialist education recruitment company. If this role isn't quite right, we welcome your CV and a call to explore other opportunities. We are committed to safeguarding children and vulnerable adults. All appointments are subject to satisfactory vetting, including a right to work check and, where relevant, an enhanced DBS, PVG (Scotland), or EWC (Wales) check, in line with Keeping Children Safe in Education. Dovetail and Slate Ltd ((phone number removed)) acts as an Employment Agency and an Employment Business under the Conduct of Employment Agencies and Employment Businesses Regulations 2003. We are an equal opportunities employer. By applying, you consent to your data being processed for recruitment purposes in line with our Privacy Policy. Because education matters. Dovetail and Slate Limited ((phone number removed)) acts as an Employment Agency

REED Engineering & Manufacturing are working with leading Engineering & Manufacturing company The Pyrometry Engineer Lead is the site's technical authority for AMS2750 compliance and all heat-treatment pyrometry activities. This role oversees the Thermocouple Laboratory, manage calibration programmes, and ensure all furnaces and thermal processes meet stringent regulatory and customer standards. Acting as a key partner across Manufacturing, Quality, Maintenance, and Engineering, the role drives furnace performance, product integrity, and continuous improvement across all thermal operations. Key Responsibilities Lead site-wide compliance with AMS2750 and pyrometry standards. Manage the Thermocouple Laboratory, including technicians, processes, and inventory. Govern thermocouple selection, calibration, traceability, and deployment. Direct and approve all TUS, SAT, and furnace calibration activities. Maintain and approve all calibration documentation and certifications. Develop and control pyrometry procedures, quality standards, and technical documentation. Provide expert guidance for furnace troubleshooting, root-cause analysis, and NCRs. Support internal, customer, and third-party audits as the site pyrometry SME. Drive continuous improvement in furnace reliability, process capability, and operational efficiency. Influence long-term thermal processing strategy across cross-functional teams. Promote strong safety, environmental, and quality governance in a heavy-engineering setting. Skills & Experience Expert knowledge of AMS2750, pyrometry, and heat-treatment standards. Strong background in metallurgy and heat-treatment science. Deep understanding of thermocouple technologies and furnace control systems. Skilled communicator able to influence senior stakeholders. Proven capability in structured problem-solving and risk assessment. Strategic thinker with a strong compliance and operational mindset. Essential Skills Strong knowledge of AMS2750 and thermal processing standards Understanding of metallurgy and heat-treatment effects on materials Experience with thermocouples, calibration methods, and temperature-measurement systems Ability to set up temperature-monitoring equipment and collect accurate data Clear communicator able to influence stakeholders and write precise procedures Skilled in risk assessment, root-cause analysis, and problem-solving Quality-focused with a strong compliance mindset Able to work safely and effectively in a heavy-engineering environment TPBN1_UKTJ

A global engineering leader is strengthening its senior design capability on large‑scale, bespoke mechanical systems used worldwide. High technical challenge, proper CAD/analysis ownership, and the stability of long‑term capital projects - away from short‑cycle, low‑impact design work. Accountability and Responsibility: Accountable for the completion of 3D modelling, detail design, technical calculations, and product development as assigned by management utilizing the internal software and tools. Responsible for assigned portion of product design and development process, ensuring project schedules are maintained while following the Company standards. Coordinate and mentor the Designer Engineers, whilst maintaining responsibility for Projects within specific areas, working closely with Project Engineers to reach assigned target Develop the layout of areas of equipment, proposal layout, basic engineering of new mechanical equipment based on Customer requests Carry out complex mechanical calculations Oversee Design Engineers during detail engineering stage Participate in commercial / technical (basic and detail design) meetings worldwide. This will involve customer interaction and other business units such as Civil, Piping, Automation Assist Purchasing, Manufacturing, Erection and Commissioning Departments during handling of developed engineering where necessary Continuous monitoring on project progress, identify any areas of concern, escalate where necessary and manage customer expectations Coordinate inputs to ensure a winning strategy is clearly communicated and documented. On time delivery of technical documents; in the desired medium (portal upload and/or electronic/hard copies, etc). Ensure technical documents, relevant project related information, MoMs, etc, are recorded and filed correctly on the server. Support sales activities through drawing/document creation and on-site reverse engineering of products. Liaison with representatives from suppliers during technical evaluations of project solutions. Manage expectations, clarify requirements and make requests, including submission deadline changes, as required. Support sales and prepare the data analysis and collection before the project start.Qualifications & Experience: Degree in Mechanical Engineering or equivalent relevant experience. Minimum of 7 years' experience in 2D and 3D CAD required (Autodesk Inventor an advantage but not essential) within an OEM structured engineering department Metallurgy, material science, heat treatment; specific knowledge in cutting, welding, heat treatment and machining Mechanical calculations (NX, MathCAD, Microsoft Excel) Free reading of design/technical documentation To operate freely with international documentation: technical books, standards, catalogues etc (AutoCAD, Inventor) Work in international groups with ability to communicate both verbally and written and work within a worldwide team environment. Strong analytical and problem-solving ability looking at overall results and finer details. Ability to prioritise workload, on-time delivery and deliver on-time results to Company standards whilst working on multiple projects. Experience undertaking structured writing in the form of technical reports. Available for regular business travel (worldwide) Basic product/plant understanding and know-how (what pieces go where and how to find reference information)