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Senior SecOps Engineer Location – London (4 days per week in London) Salary - £80-90k + Bonus + Benefits Currently working with a global InsureTech firm who are looking to hire a Senior SecOps Engineer to compliment their established yet growing internal Cyber Defence capability. This is a wide ranging role where you’ll be responsible for both Engineering and Analysis; monitoring and responding to incidents whilst also developing new detection rules and enhancing their monitoring infrastructure and tooling. This is a cloud-native SOC capability, based in Azure with a big emphasis on the Microsoft E5 suite of security monitoring and detection tooling. Experience configuring, fine-tuning and managing this tooling will be essential, as well as the ability to enhance and automate where possible using KQL. This is an incredible opportunity for an experienced SecOps specialist with experience of both SecOps Analysis and Engineering to join an established yet growing firm at a crucial point as they completely build out their Information and Cyber Security capability. Key Responsibilities: • Act as a lead and technical escalation point on the most complex incidents and investigations., • Develop and engineer new detection rules, automating monotonous tasks where possible., • Proactively research emerging and potential threat actors as a way of developing rules to safeguard against potential future threats., • Mentor and train junior team members through complex incident response investigations. Key Requirements: • Significant experience working in a SOC environment (5 years minimum), dealing with and responding to escalated and most high profile incidents., • Comprehensive knowledge and experience utilising/fine-tuning the Microsoft E5 Security stack – Defender, Sentinel, KQL, etc., • Experience working in hybrid-cloud SOC environments – Azure preferably., • Ability to articulate specific projects that you have built, developed or led on, specific to SecOps Engineering and Automation. If you’re an experienced SecOps Specialist, looking to shape how one of the most innovative HealthTech firms build out their cyber defence capability and leave a lasting impact on one of the most reputable organisations whilst working alongside a team of genuine Cyber Security SMEs, click the to apply or get in touch directly –

ML Infrastructure Engineer (Senior / Staff / Principal / Lead) Hybrid (2 days in Oxford / 1 day in London / 2 days WFH) The Client: We’re partnering with a highly funded AI research company, poised to build the largest and most advanced AI team in Europe in the coming years. There aren't many opportunities where you get to work on addressing the problems of tomorrow in a "don't be afraid to push boundaries and fail environment”. Competing on a Deepmind-esque level, you'll be addressing some of humanity’s most pressing and enduring challenges, including next-generation drug discovery, combating climate change, the future of sustainable agriculture, and various other humanity-positive missions! By joining their team, you’ll have the opportunity to contribute to research that directly shapes a better, more sustainable future for humanity. You'll be joining at an early stage, which means there are truly very few opportunities that can compete with this on a personal impact level! The Role: You’ll be joining the team that powers the core of their research. This isn’t a support role. This is the group that builds the compute backbone behind every major breakthrough. You’ll shape how their scientists train models, test ideas, and push their work forward at scale. And because you’re joining early, your impact will be felt across the whole organisation. You’ll work on problems that matter. You’ll help build fast, reliable GPU systems that let researchers move from idea to result without friction. You’ll have room to experiment, try new approaches, and design systems in a place that backs bold thinking. Key Responsibilities: • Build, run, and improve high-performance GPU training and inference clusters with a focus on reliability and automation, • Design and implement high-throughput data paths, including work on caching, I/O, and data locality across compute and storage, • Benchmark, profile, and fix performance issues across compute, network, and orchestration layers, • Set up clear observability, resilience, and security controls for sensitive research environments, • Work with Research, Data, and Applied teams to plan GPU and storage capacity and support smoother ML experimentation Technical Skills: • Strong experience designing and operating large-scale ML compute clusters, • Good understanding of GPU architecture, high-speed networking, and performance tuning for distributed training, • Experience with modern containerised systems and migrations from traditional schedulers, • Knowledge of high-throughput storage systems for ML or HPC workloads, • Solid experience with IaC and CI/CD (Terraform, Argo CD, or similar) What’s on Offer: • Salary packages competitive with FAANG businesses, • An opportunity to work on projects that will make a difference in the world, all projects are multi-decade programs that are orientated to improve society and people’s lives, • A rare opportunity to take part in shaping the core ML infra team as it grows from the ground up, • State-of-the-art resources, enabling you to push the boundaries of AI research and development quickly and ethically Benefits: • Enhanced holiday pay, • Pension, • Life Assurance, • Income Protection, • Private Medical Insurance, • Hospital Cash Plan, • Therapy Services, • Perk Box, • Electric Car Scheme Apply now or drop me a message if you’d like to hear more 😀 Keywords: ML Infra, ML Infrastructure, Machine Learning Infrastructure, Machine Learning Infra, ML Infrastructure Engineer, GPU, HPC, AI, Terraform, Argo CD, CI/CD, IaC, Terraform, Containers, Container Orchestration, Kubernetes, Linux

About Us:- Net2Source Inc. is one of the fastest growing diversities certified global workforce solutions companies with an unprecedented YoY growth of over 100% for last 6 years working with Fortune 1000/Global 2000 across 34 countries and 5 continents including North America, South America, Europe, Asia, Australia, and Middle East. About the Role: Job Title – Service Desk with VIP Location – Moorgate, London, UK Mode of Work – 5 Days Onsite in Week Type of Hiring – Fixed Term Employment (FTE) Job Summary Seeking a Service Desk Engineer with 5 to 7 years of experience to provide expert level support and ensure efficient IT service management within the Service Desk team Job Description • Serve as a key member of the Service Desk team within the SERVICE DESK skill cluster family., • Utilize extensive knowledge of Service Desk processes to manage and resolve incidents and service requests efficiently., • Act as a point of escalation for complex technical issues and ensure timely resolution., • Collaborate with cross functional IT teams to maintain high service quality and customer satisfaction., • Monitor and report on service desk performance metrics to identify areas for improvement., • Maintain documentation related to service desk procedures and knowledge base articles., • Support continuous improvement initiatives to enhance service delivery and operational efficiency Roles and Responsibilities: • Provide expert level support for Service Desk operations ensuring adherence to defined processes and SLAs Diagnose troubleshoot and resolve issues related to hardware software and network services., • Manage incident lifecycle from identification through resolution and closure Communicate effectively with end users to understand their issues and provide timely updates., • Coordinate with vendors and other IT teams for problem resolution and service requests Train and mentor junior service desk staff to build team capabilities., • Participate in change management and problem management activities to reduce recurring incidents Ensure compliance with IT policies standards and best practices Best Regards, Nitin Verma Lead Recruiter – UK & Europe

Senior Full Stack Engineer (Go + React) Location: London (Hybrid – 2 days onsite) Salary: £100,000–£105,000 + 10% bonus + Equity Industry: Series A DeepTech Start-Up About the Company Wedo.tech has partnered with a rapidly scaling Series A DeepTech start-up that’s quickly earning a reputation for its AI-driven product, trusted by global customers. Their technology sits at the intersection of distributed systems, AI/ML, and unstructured data helping organisations make sense of complex, multilingual information to deliver insights people can actually trust. This is a business solving genuinely hard problems with real-world impact. The Opportunity You’ll join one of five agile product squads focused on the company’s core web application — the heartbeat of their business operations. We’re looking for two Senior Full Stack Engineers who thrive in high-growth start-up environments: people who take ownership, drive architectural decisions, and love getting hands-on with POCs, innovation, and clean, maintainable code. You’ll need strong React UI experience and backend expertise in Go, Ruby, C#, or Java (with a willingness to cross-train into Go). The wider application stack also includes Python and Ruby, and the platform is hosted on AWS (with migration to GCP underway). What You’ll Do • Design and build scalable microservices in Go, contributing to a growing distributed architecture., • Develop intuitive, performant React components that enhance the user experience., • Collaborate with Product and Design teams to turn complex requirements into elegant technical solutions., • Write clean, testable, and maintainable code across the stack., • Participate in architectural discussions and shape engineering best practices., • Troubleshoot and resolve production issues across services and systems., • Contribute to CI/CD pipelines, observability, and automation initiatives. Interview Process 1st stage – Introductory chat with the Hiring Manager to explore your experience and the team. 2nd stage – Technical pairing exercise (split between UI with React and API/backend). 3rd stage – Final conversation with the COO and Founder. To apply: Send your CV to

Overview We are seeking an experienced Network Consultant to lead and support the transformation of our client's legacy MPLS network into a modern, agile, and secure hybrid Internet-based/private underlay powered by Palo Alto Networks SD-WAN and SASE technologies. This role is critical to ensuring seamless migration, optimal performance, and robust security across their global network infrastructure. The successful candidate must be certified in either Palo Alto Networks Certified SD-WAN Engineer and/or Palo Alto Networks System Engineer (PSE): SASE Professional. This is an initial 3 month contract with a very likely extension. Hybrid - with 2 days a week onsite in London City office. Key Responsibilities • Assessment & Planning, • Evaluate the current MPLS architecture and identify transformation opportunities., • Design a scalable internet-based underlay network aligned with business and technical requirements., • Develop migration strategies and phased rollout plans for SD-WAN and SASE deployment., • Implementation & Integration, • Configure and deploy Palo Alto Prisma SD-WAN edge devices and cloud controllers., • Integrate SASE components including secure web gateway (SWG), cloud access security broker (CASB), ZTNA, and firewall-as-a-service., • Ensure interoperability with existing infrastructure, including firewalls, routers, and cloud services., • Security & Performance Optimization, • Apply best practices for secure internet breakout, segmentation, and traffic steering., • Monitor and optimize network performance using Palo Alto’s analytics and visibility tools., • Implement policy-based routing and application-aware traffic management., • Collaboration & Documentation, • Work closely with internal IT teams, vendors, and stakeholders to ensure alignment and smooth execution., • Provide detailed documentation of network designs, configurations, and operational procedures., • Train internal staff on new technologies and operational workflows. Qualifications & Skills • Proven experience in network transformation projects, especially MPLS to SD-WAN migrations., • Deep understanding of Palo Alto Networks Prisma SD-WAN and SASE architecture., • Must be certified in at least one of Palo Alto Networks Certified SD-WAN Engineer and/or Palo Alto Networks System Engineer (PSE): SASE Professional, • Strong knowledge of IP routing, BGP, VPNs, QoS, and cloud networking., • Familiarity with security frameworks and zero trust principles., • Excellent troubleshooting, communication, and project management skills.

Senior Full Stack Software Engineer (React Native / AWS) 💰 £80,000 – £95,000 + Bonus & Benefits 📍 Hybrid – London We’re partnered with a high-growth health and fitness technology company on a mission to help people train smarter through personalised performance platforms. Following an internal promotion within the engineering team, they’re now looking for a Senior Full Stack Software Engineer to join a small, agile squad building next-generation digital coaching tools. The Role You’ll be working in a cross-functional engineering team responsible for designing and scaling the core systems behind their adaptive training experience, from mobile applications to intelligent backend services. This role will see you own end-to-end feature delivery: collaborating on architecture, writing clean and maintainable code, and driving forward new ideas that improve how users train, perform, and progress. The first month will focus on onboarding, learning the product, and embedding with the team, from there, you’ll take ownership of critical new features and shape the evolution of their tech platform. Tech Stack & Skills • Deep hands-on experience with React Native (minimum 2 years recent commercial experience), • Strong understanding of AWS and scalable cloud infrastructure, • Solid skills in TypeScript and modern JavaScript frameworks, • Experience building and shipping products end-to-end (ideation > delivery), • Interest in or exposure to AI / Machine Learning is a plus (you’ll be working alongside teams exploring adaptive algorithms) What They’re Looking For • A Senior Engineer (typically 5+ years’ experience) confident working in modern full stack environments, • A self-starter who thrives in fast-paced, product-driven teams, • Someone who enjoys solving complex technical challenges with simple, elegant solutions, • A collaborator who values impact, quality, and shipping great work over process-heavy environments The Process • Initial video call (45 mins) with a member of the engineering team — part conversational, part short coding exercise (LeetCode-style), • Take-home task (2–3 hours, realistic and reflective of day-to-day work), • Final video interview with two engineers, • Office visit to meet the wider team Why Join? • Be part of a mission-driven company making a genuine difference in people’s lives, • Work in a lean, high-impact engineering culture that values autonomy and creativity, • Opportunities to explore ML/AI projects and modern AWS-native systems, • Competitive salary, strong benefits, and hybrid working flexibility Interested? Apply now or reach out directly to discuss the role in confidence.

AI Engineer – Health Tech Location: London (Hybrid) Type: Full-Time | Level: Mid–Senior Salary: Competitive + Equity Options We're working with a fast-growing start-up on a mission to transform the way people train through intelligent, personalised coaching. Backed by top investors and elite athletes, they're building the future of fitness - and we’re looking for an AI Engineer to join them! In this role, you'll develop and deploy cutting-edge AI systems that help thousands of runners train smarter, stay motivated, and reach their goals. You’ll work across time-series analysis, reinforcement learning, and recommendation systems to bring true personalisation to our coaching engine. What You’ll Do: • Design and deploy ML models, • Work closely with product and engineering teams to integrate AI int the core platform, • Analyse user data to improve outcomes and measure impact, • Influence the AI roadmap and long-term technical direction What You’ll Bring: • Solid experience building and deploying ML models in production, • Strong Python skills and familiarity with frameworks like PyTorch or TensorFlow, • A pragmatic, product-focused mindset - you care about outcomes, not just models Why Join: • Work on a mission-driven product changing how people train, • Join a collaborative, ambitious team blending sports science and world-class tech, • Enjoy flexible hybrid working and regular in-person collaboration in London, • Share in the growth and stock options as well as access to elite training tools and advice

We’re hiring a creative & driven Machine Learning Engineer to help us redefine digital experiences at the intersection of fashion, generative AI, and computer graphics. You will be a key member of our high-energy R&D team, responsible for designing, building, and deploying the cutting-edge models that will power the next generation of e-commerce and entertainment. Responsibilities: • Design, train, and deploy a range of machine learning models, with a focus on generative AI and computer vision., • Collaborate closely with researchers to productionise and prototype novel solutions for consumer facing use cases at scale., • Develop and maintain robust, scalable machine learning pipelines for data processing, training, and inference., • Optimise models and algorithms for performance to handle large, multimodal datasets., • Stay at the forefront of ML & AI research, applying the latest techniques to solve unique and challenging problems. Requirements: • Proven experience developing and deploying machine learning models in a production environment., • Strong programming skills in Python & familiarity with ML frameworks (PyTorch or TensorFlow)., • Solid understanding of ML fundamentals and modern deep learning architectures (e.g., Transformers, CNNs)., • A passion for applying ML to new, creative domains and an eagerness to learn about the challenges in computer graphics and 3D. Nice to have: • Hands-on experience optimising large models (e.g., diffusion models, LLMs, VLMs)., • Experience with MLOps tools and cloud platforms (e.g., Docker, Kubernetes, AWS/GCP)., • Familiarity with 3D data formats & computer graphics libraries is a plus, but not required.

Stairlift Engineer jobs in Birmingham England at Stannah join the team! Are you a qualified Domestic Engineer with Stairlift and home lift experience lookin g for a job at a market-leading family-run business ? Stannah, a global leader in the lift industry, is looking to recruit a qualified Stairlift Engineer. This is a great opportunity for someone with experience working within the lift industry to develop their skills and experience as this role will involve working on the domestic side. The ideal Stairlift Engineer will have proven experience as a Stairlift Engineer or Domestic Engineer within the lift industry, and you must have at least a NVQ level 2 in Lift Engineering or equivalent . This job is to cover a route across Birmingham Working Hours: 0800 to 1645 Mon- Thurs and 0800 to 1545- Fri Why Join Stannah: Stannah is a renowned name in the lift market, recognised for innovation, safety, and a commitment to quality. You will receive an attractive standby allowance and call-out payment on top of a competitive base salary. Our benefits include a profit share bonus scheme, life assurance, matched contribution/salary sacrifice pension, Discount Rewards Scheme, and Simply Health Cash Plan to help cover your health expenses. 25 days holiday, plus bank holidays plus the option to purchase additional Opportunities for career growth and advancement You'll have the autonomy to manage your service route, covering servicing, maintenance, and repairs on a wide range of stairlifts, with hoists and home lifts equipment Stairlift Engineer Responsibilities: Conduct maintenance, repair, and call-out visits on a wide range of stairlifts, hoists and home lifts Ensure high-quality service and safety standards. Perform effective risk assessments and maintain site log cards. Participate in our on-call rota, receiving additional standby allowance and call-out payment on top of a competitive base salary. Stairlift Engineer Requirements: An NVQ level 2 in Lift Engineering or equivalent preferred but we will train to the NVQ level 2 for the right candidate. Proven experience as a Stairlift Engineer or Domestic Engineer within the lift industry A valid UK driving licence. A passion for delivering excellent customer service. If you have a Stairlift engineering background, including an NVQ 2 in Lift Engineering or equivalent we want to hear from you! Stannah is a family-owned manufacturing and engineering company. Our products move people and goods in and around homes and buildings. We make life easier for people. We do this by improving access for greater convenience and independence. Joseph Stannah founded the business in 1867. A lot has happened since then and today Stannah is a global business. The family is in their fifth generation and plays a hands-on role in running the business. Most people know us for our stairlifts. Our range of products includes lifts, escalators, and homelifts. We also provide maintenance and repair services. Stannah Group is an equal opportunities employer. We welcome and encourage applications from candidates of all backgrounds, identities, and abilities. We are a Disability Confident Committed Employer. We treat all our job applicants fairly and with respect. Our employees are the heart of our business. We take great care to create a working environment where everyone feels valued. Join our team and be a part of our diverse and inclusive community! Benefits Include: Market Aligned Salary, paid on a monthly basis Profit Share Bonus Scheme, paid to all employees every quarter. Based on Group Company profits 25 days holiday, plus bank holidays Holiday scheme to buy extra days’ annual leave Pension Scheme. Matched contribution/salary sacrifice SimplyHealth Cash Plan. Allows you to claim towards health costs. For example, dental, optical, physiotherapy, chiropody treatments and more Life Assurance Scheme Long Service award scheme, with holiday benefit Company Benefits Discount Rewards Scheme. Includes shop discounts, hotel discounts, days out, and more Employee Assistance Programme. A workplace initiative to support and enhance well-being Company Vehicle with the option to pay for private use We reserve the right to close this vacancy early if we receive high numbers of applications for the role. MandRBirmingham PandoLogic. Keywords: Equipment Engineer, Location: Halesowen, ENG - B62 8BH

London | Hybrid/Remote | £70,000 - £90,000 + stock options + Benefits Company Overview We’re a fast-growing FinTech building fairer and smarter lending solutions. Using advanced machine learning and rich financial data, we create credit products that improve outcomes for individuals and small businesses. Our mission is to make lending transparent, responsible, and accessible—and our models are at the heart of how we achieve this. Joining us means you’ll be part of a collaborative, hands-on team where your work directly contributes to how we assess and manage risk. The Role As a Senior Machine Learning Engineer, you’ll take technical ownership of our credit risk model suite — iterating, optimising, and deploying production-ready ML systems that drive real-world impact. You’ll remain hands-on in design and experimentation while mentoring 1–2 junior ML engineers. You’ll collaborate closely with credit analysts, data scientists, and the wider engineering team to ensure our models are accurate, explainable, and seamlessly integrated into our lending platform. What You’ll Do • Lead the design, training, and optimisation of credit risk and behavioural models using Python and frameworks such as XGBoost and scikit-learn., • Responsible for creating proprietary data enrichment algorithms., • Guide the evolution toward a self-learning model framework, improving automation and adaptability over time., • Design and oversee feature testing and evaluation to enhance predictive performance and interpretability., • Use BigQuery and GCP tools (including CloudRun) to manage and process large-scale datasets efficiently., • Ensure models are explainable and compliant, collaborating with credit and risk teams to interpret outcomes., • Mentor junior ML engineers through code reviews, technical guidance, and project planning., • Work with software engineers to productionise models (deployment and pipelines handled by the engineering team)., • Stay ahead of emerging ML techniques and bring new ideas to improve scalability, performance, and transparency. What We’re Looking For • 4+ years of hands-on experience in applied machine learning (preferably in financial services or another regulated domain)., • Proven ability to design, train, and evaluate models using Python, XGBoost, and related ML frameworks., • Strong experience with SQL and BigQuery; familiarity with GCP infrastructure., • Comfortable working end-to-end from data exploration through validation and interpretation., • Understanding of explainable AI and model governance practices., • Exposure to model monitoring and drift detection frameworks., • Ability to guide and mentor junior engineers while remaining deeply hands-on., • Strong communicator who can bridge technical and non-technical discussions with credit, risk, and leadership teams. Nice to Have • Experience with MLOps tooling (e.g., MLflow, Airflow, Vertex AI, or similar)., • Familiarity with real-time decisioning systems or lending analytics. What We Offer • Ownership of the ML roadmap for a growing fintech with proven traction., • Opportunity to shape team direction while staying close to the code., • Collaborative, fast-paced culture focused on experimentation and impact., • Competitive salary, stock options, and benefits., • Hybrid working and flexibility. Interview Process • Recruiter Call – Introduction & background, • Technical Interview – Deep dive into ML design, feature engineering, and evaluation, • Practical Task – Model development or analysis challenge, • Final Interview – Team fit, leadership approach, and business alignment

Overview The Manufacturing Engineer will play a key role in supporting day-to-day production operations, including machine programming, process validation, and technical support to the manufacturing team. This position will focus on driving process improvements, enhancing manufacturing efficiency, and maintaining high standards of product quality through continuous improvement initiatives. Key Responsibilities • Assess new and existing technologies to develop and optimise manufacturing plans., • Maintain equipment functionality by performing basic maintenance and coordinating external servicing for major repairs., • Oversee maintenance records and troubleshoot production issues to minimise downtime., • Establish, implement, and sustain manufacturing processes for new products across their full life cycle., • Evaluate equipment and production methods with the goal of improving performance, efficiency, and reliability., • Create and validate automated machine programs., • Develop detailed process documentation and train production staff on updated procedures., • Provide advanced technical support to production teams to resolve complex issues., • Collaborate with Quality teams to analyse performance data, identify trends, and recommend corrective actions., • Use structured problem-solving techniques (e.g. root cause analysis) to address assembly and process issues., • Create and manage all manufacturing documentation in accordance with internal standards., • Perform additional related duties as required to support manufacturing operations. The Candidate Degree-qualified in Mechanical, Manufacturing, or a related Engineering discipline (BEng preferred). Strong understanding of Design for Manufacture (DFM) principles. Knowledge of lean manufacturing and continuous improvement techniques. Ability to read and interpret technical drawings, electrical schematics, and assembly documentation. Experience using ERP/MRP systems in a production environment. Capable of working under pressure and meeting tight deadlines. Excellent communication skills, with the ability to collaborate across teams and departments. Strong organisational skills with the ability to prioritise multiple projects effectively. Familiarity with project management methodologies is advantageous. The Package Salary: From £40,000 per annum, depending on experience.

SENIOR PYTHON ENGINEER LONDON £65,000 - £85,000 You’re a problem-solver who thrives on complex data challenges and wants to see your work make a measurable impact? Here’s your chance to join. Work with real-world ML datasets, cutting-edge data systems, and a platform that processes billions of events — all while helping shape how global advertisers protect their ad spend. THE COMPANY This fast-scaling SaaS company is using machine learning to make digital advertising more transparent, efficient, and fraud-free redefining how advertisers protect and optimise their campaigns. Their machine learning platform detects and blocks invalid or low-value clicks across search, display, and social channels, empowering marketing teams with trusted data and higher ROI. Your work will directly support their mission to make digital advertising more transparent and impactful. THE ROLE As a Senior Python Engineer, you’ll play a key role in building and improving the core platform that powers the AI-driven traffic protection and analytics capabilities. You’ll work closely with the other teams to launch new models, enhance real-time tracking, and deliver high-performance backend solutions that process massive datasets. Specifically, you can expect to be involved in the following: • Developing and maintaining large-scale data pipelines and backend systems in Python., • Working with AI/ML datasets to help train and deploy new detection models., • Building and improving integrations, and working on greenfield product developments., • Collaborating with data science and applications teams to deliver features at scale., • Working with real production data (billions of data points) in a fast-paced, high-impact environment., • Deploying code to production with flexibility to shape and improve existing processes. SKILLS AND EXPERIENCE The successful Senior Python Engineer will have the following skills and experience: • Strong Python (python frameworks), backend development experience (3+ years), • Experience working with AI/ML or big data systems., • Familiarity with AWS, Redshift, or other cloud data platforms (GCP/Azure also welcome)., • Background in AdTech, MarTech or experience with Meta Marketing API or Google Ads API is a plus., • Ability to thrive in a fast-paced scale-up environment and collaborate across teams. BENEFITS The successful Senior Python Engineer will receive the following benefits: • Salary: £65,000 – £85,000, depending on experience, • Hybrid working with 2 days in the London office, • Opportunity to work with cutting-edge ML and large-scale data systems, • Career growth in a rapidly scaling Series A company, • Collaborative, innovative engineering culture with high ownership, • Great work-life balance HOW TO APPLY Please register your interest by sending your resume/CV to Joana Alves via the Apply link on this page.

We are a small London startup with the ambition to change education with ML-powered tutoring. Our flagship product is a mobile application for teaching English to intermediate and advanced learners. We’re on the verge of solving one of the biggest challenges in education – making high-quality, personalised learning accessible to everyone. We are building a fundamental model for education - one that can accurately predict student knowledge and orchestrate lessons, adapting to the students needs. We’re looking for a Senior NLP Engineer, with a proven track record of delivering ML models to production, to join the ML team in our growing company. What you will do 🚀 • Build fundamental models for education - solving the ultimate learning task of predicting student knowledge and optimal ‘next task’, • Build fully-automated pipelines for dictionary building; including span identification, word sense distribution, and sense granularity decision, • Work with a vast amount of unique data - we have data from over 1M language tests, including text and voice data, • Create brand new dictionaries and train models to determine the difficulty of words, idioms, phrasal verbs etc., • Analyse large amounts of diverse data - including data from every movie, book, and song, • Work in a cross-functional team and communicate with backend engineers and product managers, • Create new types of tests for language learners to gather more test results, analyse them, and build prediction models based on these results, • Optimise and fine-tune machine learning models for performance, scalability, and accuracy Essential skills 🙏 • Strong expertise in NLP, • Complete end-to-end experience - from finding and cleaning data all the way to monitoring models in production, • Strong understanding of neural networks, CNNs, RNNs, LSTMs, and transformers, • Experience building automated data pipelines, • Hands-on experience with LLM tooling and libraries (e.g., Hugging Face Transformers/PEFT, tokenisers, spaCy or similar), • Experience shipping NLP systems: prompt engineering, fine-tuning (e.g., LoRA/PEFT), vector search, and RAG-based services, • Great knowledge of NLP algorithms: tokenisation, embeddings, attention, language modelling, text classification/generation, and information retrieval Desirable Skills 👌 • Can speak, or learning to speak, more than one language, • Experience with reinforcement learning, • Knowledge-sharing experience (tech talks, articles, YouTube videos, etc.), • Experience using voice data in ML models What we can offer ✨ • A real-deal startup adventure: you'll be hopping on a major project while it's still in the works!, • Freedom to suggest, implement, and test ideas, • Unlimited learning & development budget (courses, conferences, books etc.), • Lunch provided by the company every day, • Regular social events, • 25 days annual leave + public holidays, • Work from our London office Interview Process 🧪 • 3 interviews, which will be mixture of technical and non-technical tasks, • If all the interviews are successful, we’d like to invite you to 2 or 3 paid trial days, or to complete short project remotely with us, to learn what it’s like to work at Glite.

About Us: Here at c2c we take pride in being an award-winning train operator running services between Fenchurch Street and Shoeburyness, serving 26 stations in East London and South Essex. Our customers never stand still and neither do we. We anticipate, innovate and flex around our customer’s needs and it takes a great team to do this. We are looking for a dedicated and versatile individual to join our team as the Head of Engineering. Purpose of the Role: • Deliver safe, clean and reliable trains in accordance with daily business needs., • Act as professional Head of Engineering, • Manage the engineering department, • Monitor maintenance plans to meet safety requirements and maximise depot capacity., • Deliver all engineering activities in accordance with business plan target., • Lead and motivate team to drive forward safety, quality and cost efficiency including successful transition of the fleets throughout the concession., • Responsible for the provision of safe, reliable, well presented trains for c2c in accordance with the requirements of the c2c Train Plan and to meet business and customer requirements., • Responsible for c2c complying with the requirements of the train leases including taking the necessary steps to minimise end of lease train liabilities., • Working with the ROSCO’s to develop and implement cost effective innovative solutions that improve the c2c fleets and promote Track and Train now working closer together., • Ensure that the performance of the c2c operated fleets are monitored and analysed, and that effective remedial action is undertaken to address reliability, technical and safety related problems., • Establish and maintain contracts with suppliers for the maintenance, repair and overhaul of trains. Negotiate and agree contract variations ensuring compliance to the requirements of a key contract., • Ensure continued compliance with legislation and industry standards through audits, inspection, investigations etc. Ensure continuing compliance with IS0 9001, ISO 14001, ISO 45001, ISO 55001, • Ensure that the Engineering budget is constructed each year in line with c2c timescales and that spend is appropriately managed Experience, Knowledge & Qualifications Required • A Chartered Mechanical, Technical, Electronic or Systems Engineer, • Detailed technical and practical knowledge of diesel and electric, traction and Rolling Stock., • Extensive practical experience of managing health and safety. Successfully completed the “Strategic Safety” course., • Trained in incident management, investigation and recovery techniques., • An excellent communicator with the ability to deal with the media and with a comprehensive understanding of business management and financial management techniques, • Proven experience in managing depots and fleet maintenance, • Experience in managing contracted – out maintenance, • Project management experience, • Financial management experience, • Rolling Stock Lease management and commercial negotiations

Team: Machine Learning Location: London (On-site; Liverpool Street) Employment Type: Full-time and Permanent Remuneration: £120 - 160k Base Salary + Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Google, Meta, Bloomberg, Microsoft and Amazon. We are backed by prominent investors from the US and the UK, including institutional VC funds and C-level executives of global technology companies. In this role, you will: • Design, develop and train large multimodal machine learning models across all stages: pre-training, post-training, evaluations and inference., • Work closely with clients to understand data and model architecture requirements for their business needs., • Be given a high degree of autonomy and ownership over your work., • Co-hire your future colleagues., • Work closely with the founding team and contribute towards best practices, standards, and culture of the company. What we are looking for: • Research engineering: 5+ years of industry experience in complex machine learning projects including data processing and training models in a distributed environment., • LLMs: Deep understanding of LLM architectures, pre and/or post-training, evaluations and inference., • Programming languages: Excellent proficiency in Python using PyTorch/TensorFlow/JAX framework., • Customer facing: Experience working directly with customers to solve applied problems, including product integration., • Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker)., • Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract data structures and algorithms with the ability to apply them to optimise production systems., • Problem solving: Strong analytical problem-solving skills and attention to detail. You have the ability to break down complex problems into actionable tasks., • Collaboration and communication: Excellent interpersonal and communication skills with a desire to learn. We would like to acknowledge that almost no candidate checks every box – and that is perfectly fine. If you are passionate about data and enjoy solving complex challenges, we would love to hear from you. Nice to have: • Publications: At top-tier ML/CV/NLP conferences (NeurIPS, ICML, ICLR, CVPR, ICCV), • Open-source: Contributions to and experience in open-source projects., • Startup experience: Experience with a startup work environment and wider ecosystem. Why join us? • Work in an environment conducting cutting-edge research in AI., • An official role title of “Founding Research Engineer” - make an impact on day one., • Competitive salary, equity and benefits package., • 28 days + public holidays allowance., • Opportunities for professional growth and progression with your career., • Work on challenging engineering problems that have a real impact on the industry., • Work with high-profile customers and technology partners.

Team: Machine Learning Location: London (On-site; Liverpool Street) Employment Type: Full-time and Permanent Remuneration: £90 - 120k Base Salary + Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Google, Meta, Bloomberg, Microsoft and Amazon. We are backed by prominent investors from the US and the UK, including institutional VC funds and C-level executives of global technology companies. In this role, you will: • Design, develop and train large multimodal machine learning models across all stages: pre-training, post-training, evaluations and inference., • Work closely with clients to understand data and model architecture requirements for their business needs., • Be given a high degree of autonomy and ownership over your work., • Co-hire your future colleagues., • Work closely with the founding team and contribute towards best practices, standards, and culture of the company. What we are looking for: • Research engineering: 2-3 years of industry experience in complex machine learning projects including data processing and training models in a distributed environment., • LLMs: Strong understanding of LLM architectures, pre and/or post-training, evaluations and inference., • Programming languages: Excellent proficiency in Python using PyTorch/TensorFlow/JAX framework., • Customer facing: Experience working directly with customers to solve applied problems, including product integration., • Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker)., • Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract data structures and algorithms with the ability to apply them to optimise production systems., • Problem solving: Strong analytical problem-solving skills and attention to detail. You have the ability to break down complex problems into actionable tasks., • Collaboration and communication: Excellent interpersonal and communication skills with a desire to learn. We would like to acknowledge that almost no candidate checks every box – and that is perfectly fine. If you are passionate about data and enjoy solving complex challenges, we would love to hear from you. Nice to have: • Publications: At top-tier ML/CV/NLP conferences (NeurIPS, ICML, ICLR, CVPR, ICCV), • Open-source: Contributions to and experience in open-source projects., • Startup experience: Experience with a startup work environment and wider ecosystem. Why join us? • Work in an environment conducting cutting-edge research in AI., • An official role title of “Founding Research Engineer” - make an impact on day one., • Competitive salary, equity and benefits package., • 28 days + public holidays allowance., • Opportunities for professional growth and progression with your career., • Work on challenging engineering problems that have a real impact on the industry., • Work with high-profile customers and technology partners.

About Us Kayana HQ is located in London, Battersea. We are looking for a field service technician to cover installations and service calls all over London and the Outskirts. Our motto is to provide the best customer service by fixing issues as soon as possible and using preventative measures to ensure that problems don't occur. We want you to be keen to learn new skills and products and have the opportunity to grow in a company into team leader and management roles. At Kayana, we're dedicated to making customer ordering more straightforward and enjoyable for hospitality and retail businesses. Through our self-service kiosks, mobile ordering systems, and integrated payment solutions, we help companies provide seamless, personalized experiences for their customers. Our technology is designed to adapt to each client's unique needs, whether a quick-service restaurant, a hotel, or a retail space. As part of the Kayana team, you'll contribute to our shared mission of enhancing customer experiences and supporting businesses in achieving their goals. We're excited to have you on board as we work together to create lasting value for our clients. Responsibilities: • Install, maintain, and repair field service equipment at customer sites, • Have experience with wall mounting. Experience within the industry would be advantageous., • Conduct regular inspections and preventive maintenance on equipment, • Collaborate with customers to understand their needs and provide technical support, • Train customers on the proper use and maintenance of equipment, • Document service activities, including repairs, parts used, and customer interactions, • Stay up to date with industry trends and advancements in field service technology Qualifications: • Experience in Engineering or a related field, • Proven experience as a Field Service Engineer or similar role, • Excellent problem-solving skills and attention to detail, • Effective communication skills to interact with customers and team members, • Ability to work independently and prioritize tasks in a fast-paced environment, • Willingness to travel to customer sites as needed, regular travel and some overnight stays required Benefits: • Competitive salary based on experience and qualifications, • Paid time off and holidays, • Professional development opportunities for career growth We would like to hear from you if you are a skilled Field Service Engineer looking for an exciting opportunity to work with cutting-edge technology and provide exceptional customer service. Please apply now to join our dynamic team! Job Types: Full-time, Permanent Additional pay: • Bonus scheme, • Performance bonus Benefits: • Company car, • Company pension, • Free parking Schedule: • Monday to Friday, • Weekend availability License/Certification: • Driving License (required) Work Location: In person

We’re seeking a Staff Computer Vision Engineer to help scale our vision AI product into a high-performing, reliable, production-ready platform. You’ll contribute deep technical expertise, scientific rigor, and a strong product-focused perspective. This position is ideal for someone who thrives on tackling complex challenges, staying deeply engaged in the work, and influencing how a team collaborates and achieves success. The role: • Lead CV Model Development — Design, train, and optimise detection, recognition, segmentation, and tracking models, balancing accuracy, speed, and robustness for real-world retail environments. Enhance synthetic data pipelines to improve generalisation and domain adaptation., • Advance Large Vision Models (LVM) — Improve performance, scalability, and adaptability of our in-house LVM for diverse retail use cases., • Deliver Proven Solutions — Experiment rapidly using PyTorch. Contribute to benchmarking and ongoing improvements., • Collaborate Across Teams — Work with Product, Infrastructure, and Customer teams to integrate models into workflows. Provide technical leadership aligned with business goals., • Champion Data & MLOps — Maintain high data quality standards and develop scalable automation systems for seamless deployment and experimentation., • Lead a team of ML Engineers Requirements • PhD (or equivalent) in Computer Vision, Machine Learning, or related field., • Proven record deploying large-scale CV models in production., • Strong Python skills with PyTorch or TensorFlow expertise., • Deep understanding of modern CV architectures, especially LVMs and Transformers., • Experience with multimodal data (images, video, text) and MLOps workflows., • Hands-on, self-directed, evidence-driven, and collaborative, with excellent communication skills for both technical and non-technical audiences This is an excellent opportunity for an experienced Staff Computer Vision Engineer to join a leading company that are driven towards success! For further information on this Staff Computer Vision Engineer position, apply below! We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. By applying you are confirming you are happy to be added to the Addition Solutions mailing list regarding future suitable positions. You can opt out of this at any time simply by contacting one of our consultants.

🚀 Are you a Machine Learning Engineer ready to kickstart your career in AI? We’re looking for a driven and detail-oriented Machine Learning Engineer to join our hybrid-working team in London. You’ll collaborate with talented engineers and data scientists to build and deploy intelligent systems that transform unstructured data into actionable insight. You’ll be joining a fast-growing AI company developing automation solutions that extract meaning from emails, documents, and other unstructured communications — turning them into structured data and insights that drive real business decisions. Our technology powers next-generation AI workflows for enterprise clients across sectors like finance and professional services. This is an exciting opportunity for a recent graduate or early-career professional with up to one year of experience who’s passionate about machine learning, generative AI, and applying cutting-edge research to real-world challenges. In this role, you’ll: 🧠 Design, train, and evaluate machine learning and deep learning models for production environments 🛠 Develop and optimise end-to-end ML pipelines — from data preparation to model deployment 📊 Experiment with advanced generative and predictive models, including diffusion, autoregressive, and transformer-based architectures 🤝 Collaborate with data engineers and software developers to integrate AI solutions into scalable systems 💡 Contribute to research and experimentation around model performance, optimisation, and privacy-aware learning What’s in it for you? 📈 Career Growth – Build hands-on experience in cutting-edge AI while developing your technical expertise through mentorship and ongoing learning ⚙ Impactful Work – Contribute to real-world projects where your models and insights directly shape intelligent products 💬 Collaborative Environment – Join a supportive, curious, and innovative team that values experimentation and creative problem-solving 🏢 Hybrid Flexibility – Balance remote focus time with in-person collaboration at our London office 🌱 Learning Pathway – Gain exposure to advanced ML frameworks and progress toward senior engineering roles as you grow What We’re Looking For: 🎓 A degree in Artificial Intelligence, Computer Science, Mathematics, or a related field 🐍 Proficiency in Python and experience with frameworks such as PyTorch, NumPy, or Scikit-learn 🧩 Understanding of machine learning algorithms, optimisation, and model evaluation 📈 Strong mathematical reasoning and analytical problem-solving skills 🗣 Excellent communication skills and a genuine passion for learning and innovation Nice to Have: 💾 Experience with JAX, Hydra, or Weights & Biases 📊 Exposure to GANs, diffusion models, or autoregressive architectures 📚 Knowledge of data privacy, machine unlearning, or secure ML methods 💻 Internship or academic project experience in AI research, data science, or software development If you’re ready to take your first step into applied machine learning and work on projects that push the boundaries of AI innovation — we’d love to hear from you. 👉 Apply now and be part of shaping the future of intelligent automation!

Team: Machine Learning Location: London (On-site; Liverpool Street) Employment Type: Full-time and Permanent Remuneration: £70 - 90k Base Salary + Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Google, Meta, Bloomberg, Microsoft and Amazon. We are backed by prominent investors from the US and the UK, including institutional VC funds and C-level executives of global technology companies. In this role, you will: • Design, develop and train large multimodal machine learning models across all stages: pre-training, post-training, evaluations and inference., • Work closely with clients to understand data and model architecture requirements for their business needs., • Be given a high degree of autonomy and ownership over your work., • Co-hire your future colleagues., • Work closely with the founding team and contribute towards best practices, standards, and culture of the company. What we are looking for: • Research engineering: Industry experience in complex machine learning projects including data processing and training models in a distributed environment., • LLMs: Understanding of LLM architectures, pre and/or post-training, evaluations and inference., • Programming languages: Proficiency in Python using PyTorch/TensorFlow/JAX framework., • Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker)., • Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract data structures and algorithms with the ability to apply them to optimise production systems., • Problem solving: Strong analytical problem-solving skills and attention to detail. You have the ability to break down complex problems into actionable tasks., • Collaboration and communication: Excellent interpersonal and communication skills with a desire to learn. We would like to acknowledge that almost no candidate checks every box – and that is perfectly fine. If you are passionate about data and enjoy solving complex challenges, we would love to hear from you. Nice to have: • Publications: At top-tier ML/CV/NLP conferences (NeurIPS, ICML, ICLR, CVPR, ICCV), • Open-source: Contributions to and experience in open-source projects., • Startup experience: Experience with a startup work environment and wider ecosystem. Why join us? • Work in an environment conducting cutting-edge research in AI., • An official role title of “Founding Research Engineer” - make an impact on day one., • Competitive salary, equity and benefits package., • 28 days + public holidays allowance., • Opportunities for professional growth and progression with your career., • Work on challenging engineering problems that have a real impact on the industry., • Work with high-profile customers and technology partners.

Machine Learning Engineer Location: Remote-first Type: Full-time, permanent Salary: £70,000 - £100,000 + benefits About the Company This BioAI startup is developing next-generation diagnostic technologies for bloodstream infections using cutting-edge machine learning and DNA sequencing. The team combines expertise across genomics, microbiology, and data science to accelerate how infectious diseases are detected and treated. Having built a strong foundation in both lab and data infrastructure, the company is now expanding its compsci team with a focus on developing advanced ML models for genomic analysis - work that directly contributes to saving lives through faster, more accurate diagnosis. The Role We’re hiring a Machine Learning Engineer to lead the development of a bacterial genome anomaly detection system - building bespoke algorithms that identify unusual patterns in genomic data and support the company’s mission to prevent incorrect antibiotic prescriptions. You’ll design and test novel ML methods using foundational pre-trained genomic embeddings and custom anomaly-detection architectures, turning proprietary data into interpretable, high-impact models. This is a deep research role: success will come through rapid iteration, creativity, and scientific curiosity rather than polished productisation. It’s well suited to someone who thrives in a small, autonomous team, enjoys experimental algorithm development, and wants their work to have measurable real-world impact. What You’ll Do • Design and implement bespoke anomaly-detection models for bacterial genomes, • Develop, train, and benchmark transformer-based and foundation-model approaches for genome representation, • Conduct rapid, iterative research, evaluating ideas through experiments rather than long production cycles, • Collaborate with bioinformatics, microbiology, and software teams to integrate models into GenomeKey’s diagnostic pipeline, • Analyse large-scale proprietary genomic datasets to ensure model robustness and interpretability, • Generate and evaluate synthetic and real-world data for validation, • Ship prototype code to third-party partners for testing and feedback, • Contribute to broader R&D initiatives such as statistical framework design and data infrastructure development What We’re Looking For Required • MSc or PhD in Machine Learning, Computational Biology, Bioinformatics, or related discipline (or equivalent industry experience), • Demonstrated ability to apply ML methods to biological or genomic data, • Strong Python skills with experience in PyTorch, TensorFlow, or scikit-learn, • Understanding of bioinformatics workflows (e.g. genome assembly, QC, annotation), • Experience working with large or complex genomic datasets, • Familiarity with model evaluation, benchmarking, and explainability, • Ability to work autonomously, design experiments, and iterate quickly, • Strong communication skills for cross-functional collaboration Why Join? • Work on a genuinely novel problem - genomic anomaly detection for clinical diagnostics, • Combine academic-level research with startup agility and real-world impact, • Autonomy to explore and build new ML algorithms from first principles, • Join a collaborative, science-driven team that values experimentation and creativity, • Contribute to technology that could change how bacterial infections are diagnosed worldwide

Humanoid is the first AI and robotics company in the UK, creating the world’s most advanced, reliable, commercially scalable, and safe humanoid robots. Our first humanoid robot HMND 01 is a next-gen labour automation unit, providing highly efficient services across various use cases, starting with industrial applications. We are looking for the Senior Perception Engineer - Spatial Understanding & Navigation to join our team based in London, UK. What You'll Do • Develop next-generation spatial understanding systems for robot locomotion and manipulation, integrating perception and high-level reasoning., • Work on open-ended navigation powered by Vision-Language-Action (VLA) models — enabling robots to understand context, predict intent, and act in complex, dynamic environments., • Design and scale auto-labeling and large-scale data pipelines to train and evaluate multimodal models for navigation and interaction., • Develop and implement scene understanding and 3D reconstruction methods that give robots persistent spatial memory and geometric awareness., • Collaborate with cross-functional research and engineering teams to bring large vision-language models into real-world robotic systems., • Stay ahead of the field — rapidly evaluate new model architectures, benchmarks, and datasets to guide our embodied AI roadmap What We're Looking For • Deep experience in machine learning for vision or embodied AI, ideally with large models (VLMs, VLAs, transformers, diffusion, or multi-modal architectures)., • Strong background in scene understanding, spatial reasoning, or 3D reconstruction from visual data., • Proficiency in PyTorch and hands-on experience building, fine-tuning, and deploying large-scale ML systems., • Strong experimental and research skills — capable of taking projects from concept to model training, evaluation, and robot integration., • Comfortable working in a fast-moving, research-driven environment with evolving models, data, and tools. What We Offer • Competitive salary plus participation in our Stock Option Plan, • Paid vacation with adjustments based on your location to comply with local labor laws, • Travel opportunities to our Vancouver and Boston offices, • Private Health Insurance, • Office perks: free breakfasts, lunches, snacks, and regular team events, • Freedom to influence the product and own key initiatives, • Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics, • Startup culture prioritising speed, transparency, and minimal bureaucracy

Associate Structural Engineer £65k-£75k London SE1 Would you be interested to work for a progressive, international, award winning and dynamic firm, who have collaboration, critical thinking, technical excellence, sustainability, and the route to net zero at the forefront of their ethos? An Associate Structural Engineer is sought to join the London HQ. You must have a good all round background in buildings design, covering all the main materials and various sectors. Excellent communication skills and ability to manage design teams and lead projects to a high standard is essential. The practice is a modern and forward thinking business, technologically advanced with their own in house softwares. Honesty, fairness and development are key to the business, with a diverse, inclusive and committed workforce. Everyone counts here and everyone's voice is heard. In addition to basic salary there is 25 days leave, hybrid and flexible working, healthcare, life insurance, pension, training and CPD. The practice is family friendly, very social and there is no long hours culture. State of the art modern office space in the heart of SE1, easily accessible by overground train and tube. Sam Robson 07749 155538 Aldwych Consulting values diversity and promotes equality. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010. We encourage and welcome applications from all sections of society and are happy to discuss reasonable adjustments and/or additional arrangements as required to support your application. Candidates must be eligible to live and work in the UK. For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business.

The Anthro joint venture between ___ and ___ will provide comprehensive turn-key services for London’s state-of-the-art HS2 gateway station at Old Oak Common. We have been awarded a multi-year contract to deliver MEPHFC (Mechanical, Electrical Public Health, Fire and Communications) systems works. The Design Manager will be based on site in our offices at Elephant & Castle, London for 3 days a week. Job Description We are seeking a highly skilled, experienced, and motivated Design Manager to join our Old Oak Common Station project team as part of the Anthro JV (Egis and VVB Engineering). As a Design Manager, you will be a senior member of the team and will be required to support the Associate Director, who leads the MEPHFC team. You will lead and manage Engineers and be responsible for the production and delivery of MEPHFC designs. We are looking for someone who’s dedicated, diligent, and driven, and will take this challenge head on, being an important part of a dynamic team with big ambitions. The ideal candidate will have experience in rail station building services design and coordination. Key Responsibilities: • Responsible for providing a clear vision and team direction by leading a high-performing team through the effective management, development and empowerment of staff, • Manage internal and external resources to produce outputs/deliverables in line with contract requirements and client expectations, • Establish and manage Technical Assurance processes, in line with project and client requirements, and rail industry norms and best practice, • Retain full control of project programmes, interrogate supply chain programmes and challenge slippage. Work collaboratively to develop and implement mitigation measures, • Set and maintain high standards in the production of design deliverables, ensuring information is clear and concise, and risk free. Nurturing a get it right first-time culture within the team, • Proactively review design documentation to ensure construction risks are mitigated at the design stage, • Manage the engineering team for production of design drawings, calculations, reports, and supporting documentation in accordance with British Standards & Eurocodes, across projects ranging from GRIP 1 to GRIP 5 / RIBA 2 to 5 / ES1-3., • Manage the production and coordination of design information in a 3D environment to BIM Standards, • Manage CDM and CSM-REA requirements and processes, ensuring risks are mitigated As Low As Reasonably Practicable (ALARP), • Produce and maintain design trackers, • Produce and issue meeting minutes recording key discussions and agreements., • Manage the production, issue and closure of RFI’s and TQ’s, • Liaise with Project Managers and Commercial Managers to produce and issue project communications e.g. EWN’s and GC’s, • Coordinate and manage engineering activities so they result in affordable solutions and meet programme requirements in a safe and environmentally responsible manner for time, cost and quality, • Produce and issue progress reports and dashboards, • Be responsible for the consistency of the deliverables across your projects, • Review, evaluate and implement rail industry standards to ensure compliance of the engineering deliverables to the standards, • Promote sustainable design and development, • Promotion and implementation of digital solutions and innovation across Egis projects, • Share knowledge, lessons learned, and innovation across Egis Group technical communities and projects Qualifications Essential: • Degree in Electrical or Mechanical Engineering, • Member of an engineering institute and has Engineering Council Professional Registration, • 5-10 years’ experience in Engineering / Technical functions, working in Design Management, with at least 2 years’ experience in the rail industry, • Proven capability in managing design for rail projects, especially in multi-disciplinary environments, • Exemplary management skills with the ability to support, mentor and manage a project team of engineers and technicians, • Experience of multi-disciplinary design and coordination, and the delivery of projects to a high quality, throughout all design stages, • Ability to find solutions to engineering problems, • Proven capability in managing design interfaces and integration processes, • Experience of design assurance requirements & processes, • Accountable for reviewing and completion of DRN comments for WPP and Design Reviews, Form C/Form G/Form A/B, or equivalent, • Understanding of project scopes, requirements, works information, and excellent commercial awareness, • Ability to deliver work to a programme and budget, • Excellent leadership skills and mentoring experience, • An ability to train and upskill team members, • Expert communication, organisation, and collaboration abilities, • Proficient at leading meetings and presenting to clients, stakeholders, colleagues, subcontractors, suppliers etc., • Good understanding of MEPHFC systems from a technical, design, installation, buildability, and maintenance perspective, • Excellent engineering, analytical and problem-solving abilities, • Being committed to professional development, staying updated on industry trends, best practices, and emerging technologies in rail design and engineering, integrating them into project designs as appropriate You must have right to work in the UK. Additional Information We are committed to our planet In each project we design, engineer and operate we care deeply about the legacy we’re leaving behind. As part of our team, you’ll have a unique opportunity to use your skills and expertise to shape a better future for our communities in the UK, and all around the globe. Our commitment is translated in the work carried out by our Egis Foundation, which funds concrete actions to address the climate crisis and is focused on educational and social initiatives that will help in the responsible and sustainable shift towards a sustainable world. Equality, Diversity & Inclusion We at EGIS are an Equal Opportunities employer and we recognize the value of a Diverse Organisation. EGIS appreciates all job applications. If you decide to apply for an opportunity at EGIS, your application will be assessed based purely on your experience, the essential and desirable criteria, and your suitability for the role. We value each and everyone’s contribution as this builds our culture and means, if you work for EGIS, you will be included, listened to, and respected.

Experienced in AI/ML Engineering and excited by the chance of training / educating others in your field? FIND are recruiting an AI/ML Engineering Trainer for a Global Data & AI Training organisation As an AI & ML Instructor, you’ll deliver engaging, hands-on training sessions to massively diverse groups of learners across their growing AI portfolio - including their new Level 6 AI/ML Engineer apprenticeship programme Responsibilities: • Train & coach learners through real-world AI and ML projects, • Stay up to date with emerging tools, techniques, and trends in AI & ML Engineering (your learners will always be working on the latest tech!), • Deliver engaging, hands-on AI & ML Engineering training sessions., • Support learners’ technical and professional development, • Collaborate on curriculum design and create high-quality learning content, • Stay up to date with emerging tools, techniques, and trends in AI & ML Engineering, • Contribute to the growth and improvement of AI programmes Experience required: • Solid experience across end-to-end machine learning workflows, • Expertise in Python, with knowledge of ML frameworks and MLOps tools, • AWS, Azure, or GCP experience, • Previous experience working as an Educator (Trainer / Instructor / Coach / Mentor / Lecturer etc) This is a fully remote working role & salary is £65,000 (maybe negotiable) Please reach out for more info!

About Nscale Nscale is taking on the hyperscalers by building a vertically integrated GenAI cloud platform. We own the data centres, software and applications that power today's AI stack using sustainable technology solutions. We thrive on a culture of relentless innovation, ownership, and accountability, where every team member takes pride in their work and drives it with excellence and urgency. As an Nscaler, you’ll build trust through openness and transparency, where everyone is inspired to do their best work. Collaboration is key, and we work together swiftly and respectfully, embracing adaptability and resilience in all we do. About the role We are looking for a Technical Product Manager to lead the development of Nscale’s generative AI cloud platform offerings. In this role, you will drive product delivery for features that enable our customers to train, fine-tune, and deploy AI models at scale. This is a highly technical and cross-functional position. You’ll work closely with design, cloud, product engineering, and AI teams to build tools for AI model training pipelines, fine-tuning workflows, and scalable inference services. A strong focus on delivery and release management is critical: you will coordinate projects across multiple teams to ensure on-time releases and smooth product launches. Additionally, you will collaborate with design and user research to gather feedback, ensuring our platform meets both technical and user needs. If you are passionate about building next-generation AI/ML products, thrive in a fast-paced Agile environment, and excel at collaborating with engineers to solve complex problems, then this role is for you. Responsibilities • Work closely with software engineering, DevOps, and infrastructure teams to plan, refine, and prioritise the product roadmap. Ensure a deep understanding of each feature’s technical design and constraints, facilitating informed decision-making and trade-offs., • Serve as the internal product owner coordinating cross-functional efforts. Run Agile ceremonies (stand-ups, sprint planning, retrospectives) with engineering teams and act as the central point of contact to align development, testing, and deployment activities., • Collaborate with design and user research teams to gather feedback from customers and end users. Translate insights into actionable requirements, ensuring our product roadmap addresses real-world pain points and user experience needs., • Own the end-to-end release process for our AI cloud platform. Define release scopes, manage sprint goals, and coordinate deployments across environments. Ensure on-time delivery of new features and improvements while maintaining rigorous quality standards., • Monitor platform performance and infrastructure stability metrics (uptime, reliability, incident rates), especially during and after releases. Proactively address stability risks by coordinating fixes or improvements with engineering and operations., • As an early product team member, you will help establish Nscale's product management processes and culture. You will implement workflows for requirements documentation, roadmap communication, and release retrospectives. You will also shape the way our product and engineering teams collaborate, setting a foundation for the product function's future growth., • Implement best practices to build a product-driven culture within Nscale, ensuring development efforts are tightly aligned with user needs, feature velocity, and technical excellence. Requirements • 5+ years of product management (or related) experience in a software/tech environment, with a track record of driving complex technical projects. Experience in cloud infrastructure, developer platforms, or enterprise software is a strong plus., • Demonstrated ability to work hands-on with software engineers and architects. Comfortable discussing architecture, APIs, DevOps processes, and technical trade-offs. You don’t need to write code daily, but you should be able to understand and communicate technical details effectively., • Proven experience in release management or project management for software products. Able to break down broad initiatives into executable release plans and adept at juggling timelines, dependencies, and priorities to meet commitments., • Solid understanding of Agile/Scrum methodologies. Capable of running sprint ceremonies and managing a product backlog. Exceptionally organised and detail-oriented, ensuring nothing falls through the cracks during fast-moving sprints., • Familiarity with user research or customer feedback loops. Able to synthesise qualitative insights alongside technical considerations to inform product decisions., • Data-driven approach to decision-making. Familiar with tracking team productivity and system performance metrics. Able to analyse KPIs (e.g., deployment frequency, outage reports) to identify areas for improvement and guide prioritisation., • Excellent communication and interpersonal skills. Comfortable interfacing with technical teams and translating plans and issues into clear, actionable terms. Able to present status updates and post-mortems to internal stakeholders and leadership concisely., • A proactive problem solver with a bias for action. Willing to dive into issues, whether it’s a slipped timeline or a system incident, and coordinate a resolution. Adaptable and calm under pressure when balancing fast delivery with reliability. Preferred Qualifications • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Prior experience as a software engineer, SRE/DevOps engineer, or similar technical role is highly valued and will help deeply engage with the engineering team., • Familiarity with AI/ML infrastructure or HPC (high-performance computing) environments. Understanding of GPU computing, cloud computing services, or data centre operations is a plus., • Experience working at a startup or in a rapidly scaling tech company, especially as an early product team member. Comfortable building structure in an evolving environment where processes may not yet be fully defined., • Ability to lead by influence and build trust across teams. Experience in establishing new processes or improving team workflows. Enthusiasm for shaping team culture and mentoring others on product best practices as our team grows. Join Nscale as we build a world-class AI cloud platform. If you’re excited about a technical, delivery-focused product role where you can shape both product and process, we’d love to hear from you! Equal Opportunities Statement We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio-economic backgrounds. If there’s anything we can do to accommodate your specific situation, please let us know.

At Assembly, our mission is to find the change that fuels growth. We apply this principle to the work we do with our clients and to how we engage with our people. We’re a modern global agency bringing together media, data, technology and talent to make brands perform. Our business is purpose driven. In March 2022, we were named Ad Age’s first ever Purpose-Led Agency of the Year, recognised for our mission to leave the world better than we found it. This year we became B Corp certified, the result of a two-year journey. We’re proud to have created a culture where diversity of thought, experience, and background are valued, within an environment that fosters continuous learning, adaptability, and a shared passion for meaningful impact. When you join Assembly, you become part of an award-winning global community of digitally led experts, home to 1,500 talented people across 25 offices globally. Together we create unique data, technology and media solutions that enable faster and smarter problem solving within an inspired, collaborative workplace. Assembly is poised for its next chapter of growth. We’re a meritocratic, high-performance business with a progressive outlook and a growth mindset in all that we do. To realise our potential we need some new skills and thinking. The core DNA of Assembly lies in digital performance marketing. New and existing clients are asking us to extend this expertise across all media, connecting traditional channels with digital methods of execution, measurement and automation. We were born the right way to do this – we’re building out from a leading digital and technology capability and adding the rest, rather than trying to reverse engineer a legacy business into a more modern version of itself. At Assembly we ask our people to embody three core values: Show Up: actively contribute to a space of personal and collective growth Make Change: embrace obstacles as opportunities, taking intentional steps to drive positive change Win Well: approach success with integrity, responsibility, and a commitment to collaboration, understanding that the journey is as important as the destination. We look forward to meeting you and to discussing how we can grow together. Overview As a Paid Social Business Director, you will be directing with your team to deliver best-in-class performance for your assembly of clients. You will be a specialist in full funnel Paid Social with deep platform knowledge across Meta, Snapchat, TikTok and more for both Brand and Performance activity. With that platform knowledge, you’ll navigate your team through the latest best practices, standardisation and our product proposition enforcement. You provide strategic insight, develop your team of specialists, and be responsible for the quality work we expect to deliver. This is a senior role within the social department. This means you will be an escalation point of contact for client and partners, as well as for our wider team. You will also work with the Head of Paid Social, Europe to deliver on our department projects to futureproof Paid Social. But you won’t stop there. You will live & breathe innovation, fostering a culture of continuous and responsible experimentation for your team. You’ll be the guide for a team of Managers and Executives across both London and India; nurturing their careers within the agency. Responsibilities • Your team will be responsible for impeccable activation. You will enforce the highest standards, as per the Assembly formula for paid social success., • You will be a source of positive and constructive feedback as appropriate for your team’s development., • You will be an expert in delivering a compelling Paid Social narrative, working with media partners to drive innovation and ensure our approach to Social is at the forefront of the industry., • Enforce agreed service level agreements. Your team never over-promise and under-deliver., • Your team will have zero errors. You monitor the ways of working, levels of daily diagnostics and non-negotiables to be checked each day to ensure zero errors. You will govern the systems and technology currently in place to identify issues and provide solutions to fix things before they become a problem, and drive operational innovation to find further workflow efficiencies., • Train your team to find the insight that can help us fuel growth for clients, • You will support with your team and department resource planning and recruitment., • You are a senior figure of the social community. You will be an escalation point for your direct team, and others in the department. You will be present in heading up team meetings, events, and department projects alongside the Head of Paid Social to develop the team., • You will be an escalation point for the partnership with senior clients, media owners, and tech partners., • Collaborate with other departments in the agency to deliver on projects for clients., • You will be involved in new business pitches. You will have an eye for identifying opportunities for up/cross-selling of our services., • You will be a thought-leader, writing whitepapers and blog posts on the latest news & updates for paid social. Success will be measured by delivering consistently excellent performance and business growth for our clients. This will be measured through excelling client KPI’s and business objectives, growth in agency revenue, as well as client feedback. The development of your team is a key indicator of how well you are performing in the role, it’s essential we see growth in their development through achieving and over-achieving on their objectives. As a senior figure, success will also be defined by the completion of department wide projects, as per our department strategy & objectives. Required Skills • You work to the highest standard, and always on time. You team will also need to do the same., • You are a self-starter with a passion for paid social and marketing., • Evidence of own thought leadership, up-to-date certifications essential., • Ideally you have experience of working on luxury global brands, • Operationally proficient with project management skills. You demonstrate a clear ability to manage multiple tasks and differing priorities, not only for yourself but for others., • Exceptional attention to detail., • Evidence of working with large multi-market clients, budget, and strategy for Paid Social., • Strong knowledge of both Brand Performance led Paid Social planning and Campaign Activation. Knowledge of advanced Paid Social products including ASC, CAPI etc, • Effective communicator. You will show an ability to be able to talk to clients clearly about performance and strategy. You make the complex, simple., • Experience managing resourcing on a large account, and the ability to outline effective roles and responsibilities for each level within the team., • Experience in line management and setting development plans for your direct reports. Clear evidence of giving constructive feedback to team., • Expert knowledge of Paid Social platforms including Meta, Snapchat, TikTok, LinkedIn, Pinterest etc, as well as knowledge of areas such as Attribution, Viewability, Incrementality measurement etc., • You don’t shy away from taking ownership for you and your team’s output. You identify solutions to problems and are proactive to preventing issues., • Involvement in new business pitches is a bonus. Equal Opportunities Assembly is an advocate for equal opportunity in the workplace. We are committed to ensuring equal opportunities regardless of race, colour, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability and gender identity. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know. Social and Environmental Responsibility At Assembly, we have a responsibility to bring impact into our every day. This means we must always look for ways in which to be conscious citizens in our roles to support society and environmental sustainability. We encourage employees to; be a conscious citizen by actively participating in our organisation's sustainability efforts, help us promote environmentally friendly practices within the workplace, collaborate with community organisations and stakeholders to support initiatives aligned with our company's values, participate in volunteer activities that benefit the community. Employees are also encouraged to make suggestions and evaluate our business practices to identify areas for improvement in social and environmental performance. Employees at Assembly demonstrate commitment

We are seeking a Technical Support Engineer with a passion for technology and problem-solving to join our team. You'll play a key role in resolving platform-related issues and supporting both internal and external customers. The Offer: • Annual Salary - £41,000 doe, • Location: Surrey - 40 minutes by train from London (if you drive, there is parking), • Hybrid: 2-3 days onsite is a must, • Contract Length: 12 Months - inside IR35 - PAYE (paid on a weekly basis) - with a strong possibility of conversion to FTE depending on performance and budget. Your Profile: • Good knowledge of object-oriented programming (e.g., Java)., • Familiarity with web application stacks., • Experience with scripting languages: JavaScript, Python, Perl, Unix/Windows Shell., • Understanding of Linux/Unix systems., • Experience with relational databases (e.g., MySQL, Oracle). Interested? Next Steps... If you're ready to make an impact in a dynamic, fast-paced environment, Apply Now! For immediate consideration, send in your CV today to me, Som in Principle. Som |

Lead Machine Learning Engineer. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Design, train, and optimise machine lear

Like the look of this opportunity Make sure to apply fast, as a high volume of applications is expected Scroll down to read the complete job description. Senior Engineer Job Description Senior Design Engineer - Hybrid - Ideally a couple of days a week in Canning Town - E16 We are looking for an experienced Senior Engineer to join our expanding Rail Systems Engineering team. You will be working in a part of Telent that is dedicated to maintaining the UK wide rail network. Our customers include Transport for London, Network Rail and a host of Train Operating Companies. Reporting to the Lead System Engineer the senior engineer will be responsible for delivering project upgrade works across Transport for London and Network rail infrastructure. Acting as the Senior Engineer for customers projects, you will be responsible for undertaking all technical aspects of projects. This will include managing the production of design packages for minor and major works for new and existing system upgrades, ensuring all works are conducted to the correct standard, working with project management teams to scope for new works and production of quotations. Key Deliverables * • Management of technical interface to client discipline engineer., • Manage and produce designs, • Perform reviews to verify designs are compliant to contract technical requirements., • Ensure designs are risk assessed in accordance with CDM obligations., • Ensure designs are fully integrated with other disciplines., • Manage and produce test documentation to validate the implemented designs., • Provide technical support to implementation teams., • Produce as-built documentation and associated test results., • Report against programme to relevant Project Manager., • Drive efficiencies in repeated work scopes through design re-use., • Implement robust processes that aim to eliminate telent incurred re-work costs in all delivery phases., • Ensure designers are efficiently utilised., • Produce Resource plans for customers works, • Interface with internal and external engineering teams to ensure all works are planned and completed on time, • Effective communicator (both written and verbal), • Support the evolution of technical support solutions across customer estates, integrating emerging technologies to enhance service delivery, • Build and support reference systems through FAT and on-site implementation Required Experience Strong background in System design, integration and testing for the following technologies. * • Station Management Systems, • Security CCTV (Analogue and IP), • Customer Information Systems and Displays, • Public Address, Voice Alarm and Induction Loops, • Passenger Help Points, • Data Networks, • OPO/TtT CCTV System, • Proven rail industry experience and leadership in engineering delivery Qualifications * • Degree or HNC in Engineering (preferred), • Industry recognition such as Chartered Engineer status or MIET membership (preferred), • IRSE License, • Industry recognition chartered, MIET etc What we offer A career at Telent can span sectors, roles, technologies, and customers giving you the opportunity to develop, learn new skills and make an impact. We are growing and we rely on our committed Team to deliver. We nurture the talent that makes this happen, by our on-going commitment to creating an inclusive culture that respects and values difference, that celebrates diverse ideas. We want everyone be themselves and to thrive at work. The additional benefits with this role: * • 26 days annual leave, plus public holidays, plus the option to buy up to 10 days or sell six days each year., • Company funded car scheme or Car Allowance, • Company pension scheme, • A range of family friendly policies, • Occupational health support and wellbeing Portal, • Discounts on Cinema, Restaurants and Shopping with Telent Reward scheme. About Us About Telent Telent is a leading technology company and specialist in the design, build, support and maintenance, drawing on decades of experience in mission critical communications and technology. of the UKs critical digital infrastructure. The work we do helps connect thousands of people and communities, using the best technology and innovation available. When you join us, youll have the opportunity to make a real impact on all our futures by fulfilling your potential and delivering high performance. We work together to make everyday life work better for everyone. Youll be part of a team of more than 3,000 brilliant, dedicated people committed to getting the job done well. Brilliance brought together. We are guided by our values and behaviours: Be Inclusive Take Responsibility Collaborate Be Customer-focussed Remote working/work at home options are available for this role.

The full job description covers all associated skills, previous experience, and any qualifications that applicants are expected to have. Senior Engineer Job Description Senior Design Engineer - Hybrid - Ideally a couple of days a week in Canning Town - E16 We are looking for an experienced Senior Engineer to join our expanding Rail Systems Engineering team. You will be working in a part of Telent that is dedicated to maintaining the UK wide rail network. Our customers include Transport for London, Network Rail and a host of Train Operating Companies. Reporting to the Lead System Engineer the senior engineer will be responsible for delivering project upgrade works across Transport for London and Network rail infrastructure. Acting as the Senior Engineer for customers projects, you will be responsible for undertaking all technical aspects of projects. This will include managing the production of design packages for minor and major works for new and existing system upgrades, ensuring all works are conducted to the correct standard, working with project management teams to scope for new works and production of quotations. Key Deliverables * • Management of technical interface to client discipline engineer., • Manage and produce designs, • Perform reviews to verify designs are compliant to contract technical requirements., • Ensure designs are risk assessed in accordance with CDM obligations., • Ensure designs are fully integrated with other disciplines., • Manage and produce test documentation to validate the implemented designs., • Provide technical support to implementation teams., • Produce as-built documentation and associated test results., • Report against programme to relevant Project Manager., • Drive efficiencies in repeated work scopes through design re-use., • Implement robust processes that aim to eliminate telent incurred re-work costs in all delivery phases., • Ensure designers are efficiently utilised., • Produce Resource plans for customers works, • Interface with internal and external engineering teams to ensure all works are planned and completed on time, • Effective communicator (both written and verbal), • Support the evolution of technical support solutions across customer estates, integrating emerging technologies to enhance service delivery, • Build and support reference systems through FAT and on-site implementation Required Experience Strong background in System design, integration and testing for the following technologies. * • Station Management Systems, • Security CCTV (Analogue and IP), • Customer Information Systems and Displays, • Public Address, Voice Alarm and Induction Loops, • Passenger Help Points, • Data Networks, • OPO/TtT CCTV System, • Proven rail industry experience and leadership in engineering delivery Qualifications * • Degree or HNC in Engineering (preferred), • Industry recognition such as Chartered Engineer status or MIET membership (preferred), • IRSE License, • Industry recognition chartered, MIET etc What we offer A career at Telent can span sectors, roles, technologies, and customers giving you the opportunity to develop, learn new skills and make an impact. We are growing and we rely on our committed Team to deliver. We nurture the talent that makes this happen, by our on-going commitment to creating an inclusive culture that respects and values difference, that celebrates diverse ideas. We want everyone be themselves and to thrive at work. The additional benefits with this role: * • 26 days annual leave, plus public holidays, plus the option to buy up to 10 days or sell six days each year., • Company funded car scheme or Car Allowance, • Company pension scheme, • A range of family friendly policies, • Occupational health support and wellbeing Portal, • Discounts on Cinema, Restaurants and Shopping with Telent Reward scheme. About Us About Telent Telent is a leading technology company and specialist in the design, build, support and maintenance, drawing on decades of experience in mission critical communications and technology. of the UKs critical digital infrastructure. The work we do helps connect thousands of people and communities, using the best technology and innovation available. When you join us, youll have the opportunity to make a real impact on all our futures by fulfilling your potential and delivering high performance. We work together to make everyday life work better for everyone. Youll be part of a team of more than 3,000 brilliant, dedicated people committed to getting the job done well. Brilliance brought together. We are guided by our values and behaviours: Be Inclusive Take Responsibility Collaborate Be Customer-focussed

The full job description covers all associated skills, previous experience, and any qualifications that applicants are expected to have. Senior Engineer Job Description Senior Design Engineer - Hybrid - Ideally a couple of days a week in Canning Town - E16 We are looking for an experienced Senior Engineer to join our expanding Rail Systems Engineering team. You will be working in a part of Telent that is dedicated to maintaining the UK wide rail network. Our customers include Transport for London, Network Rail and a host of Train Operating Companies. Reporting to the Lead System Engineer the senior engineer will be responsible for delivering project upgrade works across Transport for London and Network rail infrastructure. Acting as the Senior Engineer for customers projects, you will be responsible for undertaking all technical aspects of projects. This will include managing the production of design packages for minor and major works for new and existing system upgrades, ensuring all works are conducted to the correct standard, working with project management teams to scope for new works and production of quotations. Key Deliverables * • Management of technical interface to client discipline engineer., • Manage and produce designs, • Perform reviews to verify designs are compliant to contract technical requirements., • Ensure designs are risk assessed in accordance with CDM obligations., • Ensure designs are fully integrated with other disciplines., • Manage and produce test documentation to validate the implemented designs., • Provide technical support to implementation teams., • Produce as-built documentation and associated test results., • Report against programme to relevant Project Manager., • Drive efficiencies in repeated work scopes through design re-use., • Implement robust processes that aim to eliminate telent incurred re-work costs in all delivery phases., • Ensure designers are efficiently utilised., • Produce Resource plans for customers works, • Interface with internal and external engineering teams to ensure all works are planned and completed on time, • Effective communicator (both written and verbal), • Support the evolution of technical support solutions across customer estates, integrating emerging technologies to enhance service delivery, • Build and support reference systems through FAT and on-site implementation Required Experience Strong background in System design, integration and testing for the following technologies. * • Station Management Systems, • Security CCTV (Analogue and IP), • Customer Information Systems and Displays, • Public Address, Voice Alarm and Induction Loops, • Passenger Help Points, • Data Networks, • OPO/TtT CCTV System, • Proven rail industry experience and leadership in engineering delivery Qualifications * • Degree or HNC in Engineering (preferred), • Industry recognition such as Chartered Engineer status or MIET membership (preferred), • IRSE License, • Industry recognition chartered, MIET etc What we offer A career at Telent can span sectors, roles, technologies, and customers giving you the opportunity to develop, learn new skills and make an impact. We are growing and we rely on our committed Team to deliver. We nurture the talent that makes this happen, by our on-going commitment to creating an inclusive culture that respects and values difference, that celebrates diverse ideas. We want everyone be themselves and to thrive at work. The additional benefits with this role: * • 26 days annual leave, plus public holidays, plus the option to buy up to 10 days or sell six days each year., • Company funded car scheme or Car Allowance, • Company pension scheme, • A range of family friendly policies, • Occupational health support and wellbeing Portal, • Discounts on Cinema, Restaurants and Shopping with Telent Reward scheme. About Us About Telent Telent is a leading technology company and specialist in the design, build, support and maintenance, drawing on decades of experience in mission critical communications and technology. of the UKs critical digital infrastructure. The work we do helps connect thousands of people and communities, using the best technology and innovation available. When you join us, youll have the opportunity to make a real impact on all our futures by fulfilling your potential and delivering high performance. We work together to make everyday life work better for everyone. Youll be part of a team of more than 3,000 brilliant, dedicated people committed to getting the job done well. Brilliance brought together. We are guided by our values and behaviours: Be Inclusive Take Responsibility Collaborate Be Customer-focussed

\n Senior Engineer\n \n Job Description\n Senior Design Engineer - Hybrid - Ideally a couple of days a week in Canning Town - E16 \n We are looking for an experienced Senior Engineer to join our expanding Rail Systems Engineering team. You will be working in a part of Telent that is dedicated to maintaining the UK wide rail network. Our customers include Transport for London, Network Rail and a host of Train Operating Companies. Reporting to the Lead System Engineer the senior engineer will be responsible for delivering project upgrade works across Transport for London and Network rail infrastructure. \n Acting as the Senior Engineer for customers projects, you will be responsible for undertaking all technical aspects of projects. This will include managing the production of design packages for minor and major works for new and existing system upgrades, ensuring all works are conducted to the correct standard, working with project management teams to scope for new works and production of quotations. \n Key Deliverables\n \n • Management of technical interface to client discipline engineer.\n, • Manage and produce designs\n, • Perform reviews to verify designs are compliant to contract technical requirements.\n, • Ensure designs are risk assessed in accordance with CDM obligations.\n, • Ensure designs are fully integrated with other disciplines.\n, • Manage and produce test documentation to validate the implemented designs.\n, • Provide technical support to implementation teams.\n, • Produce as-built documentation and associated test results.\n, • Report against programme to relevant Project Manager.\n, • Drive efficiencies in repeated work scopes through design re-use.\n, • Implement robust processes that aim to eliminate telent incurred re-work costs in all delivery phases.\n, • Ensure designers are efficiently utilised.\n, • Produce Resource plans for customers works\n, • Interface with internal and external engineering teams to ensure all works are planned and completed on time\n, • Effective communicator (both written and verbal)\n, • Support the evolution of technical support solutions across customer estates, integrating emerging technologies to enhance service delivery\n, • Station Management Systems\n, • Security CCTV (Analogue and IP)\n, • Customer Information Systems and Displays\n, • Public Address, Voice Alarm and Induction Loops\n, • Passenger Help Points\n, • Data Networks\n, • OPO/TtT CCTV System\n, • Proven rail industry experience and leadership in engineering delivery\n \n Qualifications\n \n, • Degree or HNC in Engineering (preferred)\n, • Industry recognition such as Chartered Engineer status or MIET membership (preferred)\n, • IRSE License\n, • 26 days annual leave, plus public holidays, plus the option to buy up to 10 days or sell six days each year.\n, • Company funded car scheme or Car Allowance\n, • Company pension scheme\n, • A range of family friendly policies\n, • Occupational health support and wellbeing Portal\n

🚀 Are you a Graduate AI Engineer ready to launch your career in Artificial Intelligence? We’re looking for a driven and curious Graduate AI Engineer to join our hybrid-working team in London. You’ll be part of a collaborative group of engineers and data scientists developing and deploying cutting-edge AI solutions that make a real impact. This is a fantastic opportunity for a recent graduate or early-career professional with up to one year of experience who’s passionate about machine learning, data, and building intelligent systems that solve real-world problems. In this role, you’ll: 🧠 Design, train, and evaluate machine learning and deep learning models for real-world applications 🛠 Support the development and optimisation of AI pipelines — from data preprocessing to model deployment 📊 Experiment with techniques across NLP, computer vision, and predictive analytics 🤝 Collaborate with data engineers and software developers to integrate AI solutions into scalable products 💡 Research emerging AI trends and contribute fresh ideas to improve models and workflows What’s in it for you? 📈 Career Growth – Develop your technical expertise through hands-on mentorship and continuous learning opportunities. ⚙ Real-World Impact – Work on projects where your models and insights directly influence business decisions and products. 💬 Collaborative Environment – Join a supportive, innovative team that values curiosity, creativity, and experimentation. 🏢 Hybrid Flexibility – Balance remote work with in-person collaboration days at our London office. 🌱 Development Pathway – Build a strong foundation in AI engineering and progress toward senior roles as you grow. What We’re Looking For: 🎓 A degree in Computer Science, Data Science, Artificial Intelligence, Mathematics, or a related field 🐍 Proficiency in Python and familiarity with libraries such as TensorFlow, PyTorch, or scikit-learn 🧩 Understanding of machine learning algorithms and statistical modelling 📈 Strong problem-solving and analytical mindset 🗣 Excellent communication skills and a genuine passion for learning Nice to Have: 💾 Experience with SQL, data pipelines, or cloud platforms (AWS, GCP, or Azure) 📊 Familiarity with MLOps tools or model deployment practices 📚 Exposure to NLP, computer vision, or generative AI projects (academic or personal) 💻 Previous internship or project experience in AI, data science, or software engineering If you’re excited to kickstart your career in AI and work on projects that push the boundaries of innovation — we’d love to hear from you. 👉 Apply now and be part of shaping the future of intelligent technology!

EMS / SCADA Simulation Engineer Join a team developing and maintaining real-time simulation systems that help operators train and prepare for power network events. What you’ll do • Administer and optimise Dispatcher Training Simulator (DTS) applications, • Configure simulated RTUs, IEDs and consoles for operator training, • Validate network models and maintain system accuracy, • Implement and test fixes or enhancements to live EMS/DTS systems, • Support control centre operations teams with technical troubleshooting What you’ll bring • 5+ years’ experience in EMS or DTS environments (GE XA21, OSI, Siemens, ABB or similar), • Understanding of Power System Applications such as Power Flow, State Estimation and Contingency Analysis, • Proficiency in scripting or programming (C, C++, SQL, Shell, Perl), • Familiarity with communication protocols (ICCP, DNP3, IEC, Modbus), • Comfortable working across Linux and Windows environments, • Strong attention to detail and troubleshooting ability If you find this role interesting, please reach out and apply, and we can discuss in more detail about the position and requirements.

Start Your Career as a Trainee Field Service Engineer with Hotpoint. Are you ready to launch a hands-on career with one of the UK's most trusted appliance brands? Hotpoint is offering an exciting opportunity to train and qualify as a Trainee Field Service Engineer. As a Trainee Field Service Enginee

Start Your Career as a Trainee Field Service Engineer with Hotpoint Are you ready to launch a hands-on career with one of the UK's most trusted appliance brands? Hotpoint is offering an exciting opportunity to train and qualify as a Trainee Field Service Engineer.No experience? No problem - we&

Do you have electrical experience? maybe looking for a career change with some sociable hours? We can train you to become a trusted consultant engineer within our fire protection group and give you a great career aswell. Our world involves keeping our clients compliant and safe, we visit clients wit

Are you an electrical design engineer with experience on LV Rail renewals? Have you worked on London Underground electrical infrastructure? Location: London - Stratford - hybrid Rate: 450 per day - (Inside IR35) Contract length: Ongoing My client are looking for a electrical design engineer to join there APCD electrical team. You will play a key role in the design, review, and assurance of electrical systems that power some of the most complex and critical transport infrastructure in the UK. This position offers the opportunity to contribute to a wide range of projects, including Station and Depot renewals, Fleet Enabling, and Platform Train Interface (PTI) upgrades. Key Responsibilities ·Deliver LV electrical designs in line with LU standards and specifications. ·Review and assure designs produced by third parties. ·Provide on-site assurance and technical support during installation and commissioning. ·Work collaboratively with multi-disciplinary teams across the LU Renewals and Enhancements portfolio. Essential Requirements: ·Experience working on London underground electrical infrastructure. ·Strong understanding on TFl/LU standards and processes. ·Experience using Prodesign (Amtech) and Dialux is essential. ·Willing to travel to sites on an adhoc basis. ·Experience working on station and depots electrical renewals and enhancement...

Overview The Maintenance Engineer will play a key role in supporting day-to-day production operations, including machine programming, process validation, and technical support to the manufacturing team. This position will focus on driving process improvements, enhancing manufacturing efficiency, and maintaining high standards of product quality through continuous improvement initiatives. Key Responsibilities • Assess new and existing technologies to develop and optimise manufacturing plans., • Maintain equipment functionality by performing basic maintenance and coordinating external servicing for major repairs., • Oversee maintenance records and troubleshoot production issues to minimise downtime., • Establish, implement, and sustain manufacturing processes for new products across their full life cycle., • Evaluate equipment and production methods with the goal of improving performance, efficiency, and reliability., • Create and validate automated machine programs., • Develop detailed process documentation and train production staff on updated procedures., • Provide advanced technical support to production teams to resolve complex issues., • Collaborate with Quality teams to analyse performance data, identify trends, and recommend corrective actions., • Use structured problem-solving techniques (e.g. root cause analysis) to address assembly and process issues., • Create and manage all manufacturing documentation in accordance with internal standards., • Perform additional related duties as required to support manufacturing operations. The Candidate Degree-qualified in Mechanical, Manufacturing, or a related Engineering discipline (BEng preferred). Strong understanding of Design for Manufacture (DFM) principles. Knowledge of lean manufacturing and continuous improvement techniques. Ability to read and interpret technical drawings, electrical schematics, and assembly documentation. Experience using ERP/MRP systems in a production environment. Capable of working under pressure and meeting tight deadlines. Excellent communication skills, with the ability to collaborate across teams and departments. Strong organisational skills with the ability to prioritise multiple projects effectively. Familiarity with project management methodologies is advantageous. The Package Salary: From £40,000 per annum, depending on experience.

Senior Full Stack Software Engineer (React Native / AWS) 80,000 95,000 + Bonus & Benefits Hybrid London Were partnered with a high-growth health and fitness technology company on a mission to help people train smarter through personalised performance platforms.Following an internal promotion

Job Title: Senior AV Engineer Location: London Salary: £40,000 - £45,000 Job Purpose Summary: To carry out the installation and basic commissioning of AV systems across corporate, education, and government sectors. Train junior engineers when necessary. Assemble AV racks on and off s

We are looking for a research scientist to join our team to train AI models. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each model. In this role you will need to hold an expert understanding of chemistry- a completed or in progress Masters/PhD is preferred but not required. Other related fields include, but are not limited to: Research and Development Chemist, Formulation Scientist, Development Chemist, Analytical Chemist, Chemical Engineer, Medicinal Chemist, Biochemist, Process Development Chemist. Benefits: • This is a full-time or part-time REMOTE position, • You’ll be able to choose which projects you want to work on, • You can work on your own schedule, • Give AI chatbots diverse and complex chemistry problems and evaluate their outputs, • A current, in progress, or completed Masters and/or PhD is preferred but not required, • Fluency in English (native or bilingual level), • Detail-oriented, • Proficient in chemistry, inductive/deductive reasoning, physical/temporal/ spatial reasoning

OTE £70,000+) + Company Vehicle + Fuel Card + Door To Door Paid + Plenty of Overtime + Family Feel Company + Holiday + Pension + Sick Pay Progression to Senior Engineer + Immediate Start.Currently stagnant where you are? This is a great opportunity to train and develop with a company that offers a

Work closely with the research team to design, develop, implement, and train very large AI models. Build and maintain efficient, scalable, and relia. We seek an exceptional Senior AI Engineer with a strong machine learning and AI background to join our team.

Other related fields include, but are not limited to: Research and Development Chemist, Formulation Scientist, Development Chemist, Analytical Chemist, Chemical Engineer, Medicinal Chemist, Biochemist, Process Development Chemist. We are looking for a research scientist to join our team to train AI

Join us as a Senior ML Research Engineer and you will have the opportunity to: Collaborate with colleagues on production systems and write, test, and maintain production quality code Design, train, experiment, and evaluate ML models, algorithms and solutions Demonstrate technical le

Join us as a Senior ML Research Engineer and you will have the opportunity to: Collaborate with colleagues on production systems and write, test, and maintain production quality code Design, train, experiment, and evaluate ML models, algorithms and solutions Demonstrate technical le