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Amazon Web Services (AWS) is the leading cloud provider, providing virtualized infrastructure, storage, networking, messaging, and many other services to customers all over the world. AWS runs a globally distributed environment, operating at massive levels of scale. Businesses, from start-ups to enterprises, run their operations and applications on AWS’ multi-tenant infrastructure. Key job responsibilities As a Senior Security Engineer, you’ll help to build and manage services that detect and automate the mitigation of cybersecurity threats across Amazon’s infrastructure. You’ll work with data scientists, software development engineers, and other security engineers across multiple teams to develop innovative security solutions. Our services protect the AWS cloud for all customers and preserves our customers’ trust in us. You’ll get to use the full power and breadth of AWS technologies to build services that proactively protect AWS customers, both internally and externally, from security threats. You will be working in a team of industry-leading security experts working with UK customers to operate and continuously improve industry-leading security programs and processes. This team manages the underlying security programs and processes for personnel security, physical and logical accreditations, education, awareness and training, assurance, and cyber security. This position will have visibility at senior levels of government agencies, commercial institutions, and AWS including interaction with CISOs, CTOs, their staffs, and AWS senior leadership. In addition to a strong understanding of security technologies, tool development, offensive and defensive security tactics, and ideally some experience with distributed systems, you’ll need a number of other qualities to be successful in this role. The team has a mix of experience levels, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior engineers, data scientists, and managers truly enjoy mentoring junior engineers, data scientists, and engineers from non-traditional backgrounds through one-on-one mentoring and thorough, but kind, code reviews. You will need to be a UK national and able to obtain and maintain a UK Government Security Clearance. Further details found here: About the team Diverse Experiences Amazon Security values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why Amazon Security? At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Training & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. • Extensive experience performing security investigations, penetration testing, and/or incident response in the context of large organisations, • In-depth understanding of security threats, hands-on experience detecting and defending from cyber attacks, and experience using big data analytics and orchestration to address security challenges. Ability to develop code with at least one modern language such as Java, Go, TypeScript, Python, Rust and security code review, • Demonstrated technical leadership in security (e.g., tech lead, developed security architecture for a product or system, led technical component of security project, etc.) Experience leading and coaching junior security engineers to improve their skills and effectiveness, • BS or MS in a STEM related field. Understanding of the Mitre ATT&CK framework and knowledge of host and network telemetry data (e.g., process lists, application logs, NetFlow), • Have awareness and understanding of current cyber security threats, actors and their techniques. Experience with data science, big data analytics technology stack, analytic development for endpoint and network security, and streaming technologies (e.g., Kafka, Spark Streaming, and Kinesis), • Strong sense of ownership combined with collaborative approach to overcoming challenges and influencing organisational change Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (___) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ___ for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Data Cabling Engineer (Telephone Exchange) Location: London / Leeds/ Birmingham/Manchester/Newcastle (and surrounding areas), with travel across assigned exchanges Permanent Salary: Competitive (dependent on experience) + overtime / out-of-hours allowance Hours: This role may require regular out-of-hours and weekend working Summary We are seeking several experienced Data Engineers with proven UK Exchange expertise to join our team. You will play a critical role in surveying, upgrading, and supporting the UK’s leading fibre network by performing hands-on work inside UK telephone exchanges. This includes carrying out audits and surveys, supporting moves, adds, changes (MACs), new installations, decommissions, patching and testing of pre terminated fibre links to ensure high-quality, reliable broadband and telecom services. This is a hands-on, technical field role requiring strong attention to detail, adherence to NG Bailey and UK safety and quality standards, and the flexibility to work out-of-hours to support hardware and fibre migrations. Some of the key deliverables will include: • Adhere to all NG Bailey and UK safety practices and procedures. Actively engage in all safety programmes and develop behavioural safety in line with company initiatives., • Conduct surveys for fibre and copper connections within exchange environments, including patching and equipment reconfigurations., • Carry out installations and decommissions of fibre equipment, ODFs (Optical Distribution Frames), splitters, and related infrastructure in exchanges., • Conduct fault diagnosis, rectification, and testing on fibre and associated network elements to restore service quickly., • Ensure all work complies with NG Bailey and UK working practices, safety protocols (including manual handling, working at height where applicable, and exchange access rules), and quality standards., • Complete accurate job records, updates in work management systems, and reporting (e.g., via mobile devices or exchange logging)., • Collaborate with internal teams, partners, and UK stakeholders to coordinate access to minimise service impact., • Proven experience working in UK telephone exchanges (e.g., DSLAM, OCR, ODF)., • Demonstrable expertise in UK exchanges, • Strong knowledge of UK fibre network infrastructure, processes, and standards (e.g., Full Fibre, exchange-based fibre distribution)., • Experience with moves, adds, changes (MACs), installations, and decommissions in telecom exchange settings., • Familiarity with fibre patching, ODF management, and basic exchange equipment (e.g., HD frames, cabinets, power systems)., • Full UK driving licence (commercial vehicle for business use will be provided)., • Ability to work at heights (where required), in confined spaces, and follow strict health & safety procedures., • Excellent problem-solving skills and attention to detail under time pressure., • Internal and external customer service skills, • Relevant UK accreditations or SmartAwards training (e.g., fibre splicing modules, exchange access, N23/N34 equivalents, or similar telecom fibre qualifications)., • NRSWA (New Roads and Street Works Act) certification or equivalent streetworks knowledge would be an advantage but not essential., • Experience using diagnostic tools such as OTDR, power meters, and light sources., • Previous telecoms field engineering background (UK, BT, or alt-net experience preferred)., • Current DBS or SC clearance would be beneficial, alternatively the individual should be prepared to progress through the clearance process As a business, we’re on a journey to build on our culture where everyone is included, treated fairly and with respect. This starts with recruitment and how we bring people into the organisation. We’ll do our best to outline the recruitment process to you ahead of time with plenty of notice. If you require any accommodations to participate in the application or interview process, please let us know and we will work with you to ensure your needs are met. About Us: We are one of the leading independent engineering and services businesses in the UK. Founded in 1921, with a turnover of £500m and 3000 employees, we are proud of our history of developing great people through our investment in training. Working across a variety of sectors within the building and infrastructure industry, our innovative, responsible and forward-thinking approach allows us to work on fantastic ground-breaking projects, providing solutions using the latest tools and technologies. Progression is something we value, and we will make sure that when you join us you have a clearly defined development path, supported by regular reviews, training and ongoing support to enable you to be the best you can be. #LI-LP1 #LI-onsite

Job Title : PLC Engineer Location : Belvedere, London Salary : £70,000 to £75,000 Responsibilities: • Project management of control system commissioning within data centres / power Generation systems, • Producing of design control and testing documentation, • Programming of PLC & SCADA Systems, • Deploying PLC applications for control system projects, • Testing & Commissioning of control systems, • Troubleshooting of all P... ZIPC1_UKTJ

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

Building Management Systems Engineer - 2x static sites - Hertfordshire & West London I'm working with a Tridium & Trend biased BMS company who seek a BMS Engineer to cover 2 key data centre clients. The directors are keen to speak to BMS Engineers who are proficient with BMS service & small work project duties. The BMS Engineer will be certified on Trend & Tridium products (IQvision, N4, IQ3, IQ4, S... ZIPC1_UKTJ

A global consultancy is looking for a number of Cost Engineers to join their growing team which works across multiple industries including, but not limited to, civil infrastructure, data centres, defence and energy. The roles are available on a hybrid basis and there are roles available from Engineer through to Manager. The Role As a Cost Engineer, you'll be working on projects of varying sizes and... ZIPC1_UKTJ

A global consultancy is looking for a number of Risk Engineers to join their growing team which works across multiple industries including, but not limited to, civil infrastructure, data centres, defence and energy. The roles are available on a hybrid basis and there are roles available from Engineer through to Manager. The Role As a Risk Engineer, you'll be working on high profile projects of va... ZIPC1_UKTJ

Trainee AI Programmer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required. Train online at your own pace and land your first AI Engineer role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Our candidates earn £28,000-£45,000. Why AI? AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 – Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 – Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 – AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 – AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 – Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 – AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. What You Get · 100% online, self-paced training · Microsoft AI-900 certification included · 1-to-1 tutor and recruitment support · Real-world project experience · Job guarantee – get a job or your money back · Starting salary of £28,000–£45,000 We Get You Hired We're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles. Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. We don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back. "Five months from complete beginner to AI engineer. Best decision I ever made." – Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps

Job Description All potential applicants are encouraged to scroll through and read the complete job description before applying. Trainee AI Engineer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required. Train online at your own pace and land your first AI Engineer role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Our candidates earn £28,000-£45,000. Why AI? AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 – Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 – Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 – AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 – AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 – Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 – AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. What You Get · 100% online, self-paced training · Microsoft AI-900 certification included · 1-to-1 tutor and recruitment support · Real-world project experience · Job guarantee – get a job or your money back · Starting salary of £28,000–£45,000 We Get You Hired We're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles. Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. We don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back. "Five months from complete beginner to AI engineer. Best decision I ever made." – Jamie W., now working as a Junior AI Engineer in London Ready to Start? xwzovoh If you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps. Please note this is a training course and fees apply

AI Engineer Programme Job Support Included Complete online training designed to take you from beginner level to your first AI Engineer role. Study part-time, build practical artificial intelligence and machine learning skills, and receive dedicated job support to help you secure employment. The Programme Complete this 1014 week online programme with approximately 1015 hours of study per week. Youll learn Python programming, machine learning fundamentals, data handling, and applied AI use cases. The programme includes hands-on projects, real-world problem-solving, portfolio development, expert tutor support, and career guidance. The Outcome Entry-level AI Engineer roles across multiple industries. Starting salaries: 35,000 45,000+ Who This Is For Beginner-friendly and suitable for career changers. No prior AI experience required. UK-based learners only. Apply now. Limited spaces available.

Microsoft Security Engineer - Microsoft's E5 security suite - London Sites also to be based from Birmingham/Manchester Salary upto £77,500 + Benefits Microsoft Security Engineer sought to join a prominent client based in London, with options to also work from their Birmingham or Manchester offices. The role involves shaping, designing, and implementing secure digital environments for clients, primarily focusing on Microsoft's E5 security suite, especially Microsoft Purview, but also encompassing various enterprise technologies. You will support clients by leading design and implementation activities throughout multi-year transformation programs. As part of the Security Architecture team, your contributions will span both Microsoft-specific and cross-technology projects, helping clients maintain resilience and compliance in hybrid and multi-cloud setups. Key skills and responsibilities, Microsoft Security & Compliance (E5 Suite) • Demonstrated expertise in Microsoft Purview, with specialization in Information Protection, Data Lifecycle Management, Insider Risk Management, eDiscovery, and advanced Compliance Portal configuration., • Proficient in leveraging the Microsoft Defender Suite, encompassing Defender for Endpoint, Identity, Office 365, Cloud, and Cloud Apps., • Skilled in Microsoft Sentinel, including experience in connector design and onboarding processes., • Possess comprehensive knowledge of Microsoft Entra ID (Azure AD), with a focus on Conditional Access, Identity Governance, Privileged Identity Management (PIM), and Access Reviews., • Competent in Defender for Cloud and Azure Security services such as Key Vault, DDoS Protection, and Security Posture Management., • Proven leadership in designing and implementing Microsoft E5 security and compliance capabilities across Purview, Defender, Entra ID, and Sentinel platforms., • Recognized as a trusted security architect, adept at developing reference architectures and target operating models spanning both Microsoft and non-Microsoft technologies. Highly skilled in integrating Microsoft-native controls within enterprise and multi-cloud environments., • Extensive proficiency in Microsoft's E5 security suite, with particular emphasis on Purview solutions for Information Protection, Data Governance, and Compliance. Capable of translating security principles into scalable and actionable architectural patterns.

Senior Full-Stack Engineer We are seeking a high-impact Senior Full-Stack Engineer to join a growing technology team for a leading investment house supporting market data services within a regulated, enterprise environment. This role sits at the intersection of data engineering, full-stack development, and business engagement, working closely with stakeholders and external vendors to design and deliver robust, scalable technology solutions aligned to a strategic roadmap. What you'll do • Design, build, and maintain reliable, scalable data pipelines supporting complex analytical and sustainability data workloads., • Ensure data quality, governance, and robustness through modern data engineering practices, automated validation, monitoring, and testing., • Own and evolve data models and system integrations across multiple platforms and third-party services., • Deliver data analysis, reporting, and visualisation to support business and technology objectives., • Lead incident investigation and root-cause analysis for data-related issues, driving continuous improvement., • Collaborate with enterprise data teams to contribute to data architecture and governance., • Act as a bridge between technical and non-technical stakeholders, clearly communicating progress, risks, and requirements., • MUST have 5+ years' experience in data or software engineering within financial services or a similar regulated industry., • Strong full-stack experience with Python, Java (Spring Boot), React, SQL, and relational databases., • Hands-on experience with modern data engineering tools (eg Airflow, Spark, Kafka, dbt, Snowflake or similar)., • Experience with cloud platforms, containerisation (Docker/Kubernetes), and CI/CD pipelines., • Solid understanding of data governance, validation, and compliance., • A strong advocate for automated testing, observability, and engineering best practice., • Experience with infrastructure as code (Terraform, Helm)., • Familiarity with monitoring and logging tools (Prometheus, Grafana, ELK)., • Exposure to regulated environments and associated data controls.

Permanent AVP Infrastructure Network Operations Engineer - Cisco ACI, Firewalls, Hybrid Required Skills and Experience: • Possess exceptional technical problem-solving skills in high-pressure scenarios, combined with strong collaboration and communication abilities., • Solid knowledge of traditional LAN/WAN technologies including routing protocols, route redistribution, manipulation, and filtering, L2 loop avoidance, as well as datacentre clos fabric using spine-leaf architecture (Cisco ACI)., • Proven experience with deploying and troubleshooting issues related to WLAN, in a centralized (controller) as well as cloud-based model., • In-depth experience of working in a multi-vendor Firewall environment (Checkpoint, ASA, Fortinet), that involves implementing & troubleshooting Firewall rule changes, NAT & VPN in a segmented network with multiple layers of Firewalls., • Good knowledge of cloud networking (AWS and Azure) components, including VPC design and hybrid connectivity., • Familiarity with SaaS-based security and SASE architecture, Zero Trust principles., • Familiarity with monitoring tools like SolarWinds and Dynatrace., • Familiarity working with ServiceNow or other ticketing systems., • Proficiency in creating technical documents, runbooks, and network diagrams., • Security & Firewall Management: multi-vendor Firewalls (Firepower, ASA & Checkpoint) that leverage management tools for rule deployment, network segmentation in a multi-context/multi-zone Firewall environment, IPS, encryption techniques (IPSEC, MACsec), VPN (Site-to-Site), NAC (Cisco ISE) and access security appliance (RSA)., • Enterprise Infrastructure: Routing & Switching, including routing protocols (OSPF & BGP), PBR, MPLS, VPN, SDWAN, STP, ACL, advanced L2/L3 switching technologies and QoS., • Cloud Integration: Hybrid connectivity into AWS VPCs using various options (AWS Direct Connect, DX Gateway, NAT Gateway, Transit Gateway, and VPN), manage cloud security options using security groups., • Datacentre Infrastructure: Spine and Leaf architecture, VxLAN fabric (Cisco ACI deployment) and other datacentre technologies (Cisco NX-OS, RSA appliance & NetScaler)., • Wi-Fi Solutions: Centralized and cloud-based WLAN solutions. Any experience with Meraki solutions would be preferred., • Monitor: SolarWinds for alert monitoring. By applying to this job you are sending us your CV, which may contain personal information. Please refer to our Privacy Notice to understand how we process this information. In short, in order to supply you with work finding services, we will hold and process your personal data, and only with your express permission we will share this personal data with a client (or a third party working on behalf of the client) by email or by upload to the Client/third parties vendor management system. By giving us permission to send your CV to a client, this constitutes permission to share the personal data that would be necessary to consider your application, interview you (Phone/video/face to face) and if successful hire you. Scope AT acts as an employment agency for Permanent Recruitment and an employment business for the supply of temporary workers. By applying for this job you accept the Terms and Conditions, Data Protection Policy, Privacy Notice and Disclaimers which can be found at our website.

Monitoring and Obersavability Engineer - Grafana Rate: £500/day Location: Hybrid IR35 - Outside We are looking for a hands-on Grafana Specialist to design dashboards and implement proactive monitoring across multiple data sources. Strong experience with Grafana Alloy is essential. Key Requirements: * Build and maintain Grafana dashboards across varied data sources * Configure Grafana Alloy (including High Availability setups) * Implement database monitoring (MS SQL) using custom SQL queries * Configure monitoring via F5 load balancers (targeting active Servers) * Create and manage checks for: * Port listener availability * Missing log files * Empty log files * Log files not updated within a defined threshold (eg 5 minutes) Experience: * Strong hands-on Grafana experience (dashboards, alerting, observability) * Alloy configuration and monitoring expertise * Experience in enterprise production environments This role is ideal for someone who can deliver practical, scalable monitoring solutions and work closely with application support and infrastructure teams.

My leading Tech client are looking for a talented and motivated individual to ensure the resilience, performance, and cost-effectiveness of their Azure-based data platform. This role is essential to their data ecosystem, combining platform reliability, incident response, SLA management, cost optimization (FinOps), and deployment oversight. You will be the single point of contact for operational issues, driving rapid resolution during outages, leading communications with stakeholders, and shaping the processes that keeps their platform running smoothly and efficiently. This is a newly created role in a growing business. A brilliant opportunity! The following skills/experience is required: • Proven operational leadership for large-scale data platforms., • Expertise in incident management, SLA enforcement, and stakeholder communication., • Hands-on experience with Azure Synapse, Databricks, ADF, Power BI., • Familiarity with CI/CD and automation., • Strong FinOps mindset and cost management experience. Level: Lead Engineer Location: London (good work from home options available) If you are interested in this Lead Big Data Ops Engineer position and meet the above requirements please apply immediately.

My leading Tech client are looking for a talented and motivated individual to ensure the resilience, performance, and cost-effectiveness of their Azure-based data platform. This role is essential to their data ecosystem, combining platform reliability, incident response, SLA management, cost optimization (FinOps), and deployment oversight. You will be the single point of contact for operational issues, driving rapid resolution during outages, leading communications with stakeholders, and shaping the processes that keeps their platform running smoothly and efficiently. This is a newly created role in a growing business. A brilliant opportunity! The following skills/experience is required: • Proven operational leadership for large-scale data platforms., • Expertise in incident management, SLA enforcement, and stakeholder communication., • Hands-on experience with Azure Synapse, Databricks, ADF, Power BI., • Familiarity with CI/CD and automation., • Strong FinOps mindset and cost management experience. Level: Lead Engineer Location: London (good work from home options available) If you are interested in this Lead DataOps Engineer (Big Data) position and meet the above requirements please apply immediately.

McCabe and Barton are pleased to partner with a Retail Banking client to offer this exciting role as a Network Engineer. This is a permanent role with hybrid working from a Central London office. The Network Engineer will be responsible for all areas of the network to ensure the systems which are resilient and available to support the company's growth. Key Skills and Experience: • experience delivering high quality, positive business outcomes within 2nd/3rd line support, • Strong diagnostic and troubleshooting skills, • Experience in configuration, security, support and management of Firewalls, routing & switching, voice and video (inc a contact centre), and Load Balancers, • Experience in Cisco Routing & switching, Data Centre/WAN and LAN infrastructure, Palo Alto/Cisco Firepower Firewalls, Cloud (AWS/Azure), Remote Access or VPN technology, • CNNP as a minimum and strong network automation and Dev ops knowledge, • Complementary IT Certifications, • Exposure to resilient production environments., • ITIL Framework, • Knowledge of Scrum and Sprints

AI Engineer Programme Job Support Included Complete online training designed to take you from beginner level to your first AI Engineer role. Study part-time, build practical artificial intelligence and machine learning skills, and receive dedicated job support to help you secure employment. The Programme Complete this 1014 week online programme with approximately 1015 hours of study per week. Youll learn Python programming, machine learning fundamentals, data handling, and applied AI use cases. The programme includes hands-on projects, real-world problem-solving, portfolio development, expert tutor support, and career guidance. The Outcome Entry-level AI Engineer roles across multiple industries. Starting salaries: 35,000 45,000+ Who This Is For Beginner-friendly and suitable for career changers. No prior AI experience required. UK-based learners only. Apply now. Limited spaces available.

Hedge Fund PERM GCP Cloud Security Engineer - GCP, AWS, Azure, Python, Bash, IAM, Terraform, Automation Cloud Security Engineer The successful candidate will be a subject matter expert with hands-on experience in a wide range of cloud technologies, tools and methodologies. The role is suited for an experienced Cloud Engineer with focus in Google Cloud Platform, the candidate must have proven understanding in enterprise security and will focus on building toolsets and processes. Principal Responsibilities • Contribute to the vision, strategy, and drive execution for integrated security controls across Software-as-a-Service (SaaS), Platform-as-a-Service (PaaS), Infrastructure-as-a-Service (IaaS) and for Google Cloud Platform (GCP) efforts., • Able to demonstrate clear understanding of current risks and threats to Cloud infrastructure and/or IT infrastructures at technical and managerial levels., • Ability to conduct Red Team security testing tasks in GCP to continuously assess security posture in GCP platform, • Drive Identity and Access Management (IAM), configuration management, and monitoring strategy for GCP platform., • Provide security consultancy and engineering support for cloud security solutions including analysis and development of Google, and other security solutions., • Provide architecture assurance on Cloud security initiatives and compliance of existing security standards interfacing with infrastructure and development teams., • Maintain the security infrastructure tools that are built on the Cloud platform, providing stability and policies and procedures., • Support the development and delivery of a comprehensive ISP for the entire organization., • Perform periodic and on-demand system audits and vulnerability assessments of systems, internal applications and Cloud services to identify security vulnerabilities., • Monitor compliance with the organization's information security policies and procedures among employees, contractors and third parties., • Manage remediation efforts for any gaps reported in audits or recommended process improvements., • Bachelor's degree in Computer Science or Engineering preferred. 5+ years experience working in a technical role with a minimum of 3+ years experience focusing on Information Security in the financial industry (preferred)., • Solid understanding of GCP security controls and best practices to secure cloud resources in a hybrid environment., • Knowledge of VPC Service Controls is a plus., • Deep expertise with Identity and Access Management (IAM) in GCP, including but not limited, Workload Identity Federation, IAM role usage analysis, Organizational Constraints, Cloud Identity, etc., • Proficiency in software development and Scripting in Python is required., • Hands-on experience in building security guardrails in GCP to allow for innovation without compromising security posture, • Demonstrated expertise in Infrastructure as Code tooling using Terraform, • Strong knowledge and experience in a variety of technologies including UNIX, Networking, Databases, and Storage., • Strong knowledge of Information security controls., • Knowledge of software development security and cryptography, AI security. By applying to this job you are sending us your CV, which may contain personal information. Please refer to our Privacy Notice to understand how we process this information. In short, in order to supply you with work finding services, we will hold and process your personal data, and only with your express permission we will share this personal data with a client (or a third party working on behalf of the client) by email or by upload to the Client/third parties vendor management system. By giving us permission to send your CV to a client, this constitutes permission to share the personal data that would be necessary to consider your application, interview you (Phone/video/face to face) and if successful hire you. Scope AT acts as an employment agency for Permanent Recruitment and an employment business for the supply of temporary workers. By applying for this job you accept the Terms and Conditions, Data Protection Policy, Privacy Notice and Disclaimers which can be found at our website.

AI Engineer Programme Job Support Included Complete online training designed to take you from beginner level to your first AI Engineer role. Study part-time, build practical artificial intelligence and machine learning skills, and receive dedicated job support to help you secure employment. The Programme Complete this 1014 week online programme with approximately 1015 hours of study per week. Youll learn Python programming, machine learning fundamentals, data handling, and applied AI use cases. The programme includes hands-on projects, real-world problem-solving, portfolio development, expert tutor support, and career guidance. The Outcome Entry-level AI Engineer roles across multiple industries. Starting salaries: 35,000 45,000+ Who This Is For Beginner-friendly and suitable for career changers. No prior AI experience required. UK-based learners only. Apply now. Limited spaces available.

AI Engineer Programme Job Support Included Complete online training designed to take you from beginner level to your first AI Engineer role. Study part-time, build practical artificial intelligence and machine learning skills, and receive dedicated job support to help you secure employment. The Programme Complete this 1014 week online programme with approximately 1015 hours of study per week. Youll learn Python programming, machine learning fundamentals, data handling, and applied AI use cases. The programme includes hands-on projects, real-world problem-solving, portfolio development, expert tutor support, and career guidance. The Outcome Entry-level AI Engineer roles across multiple industries. Starting salaries: 35,000 45,000+ Who This Is For Beginner-friendly and suitable for career changers. No prior AI experience required. UK-based learners only. Apply now. Limited spaces available.

AI Engineer Programme Job Support Included Complete online training designed to take you from beginner level to your first AI Engineer role. Study part-time, build practical artificial intelligence and machine learning skills, and receive dedicated job support to help you secure employment. The Programme Complete this 1014 week online programme with approximately 1015 hours of study per week. Youll learn Python programming, machine learning fundamentals, data handling, and applied AI use cases. The programme includes hands-on projects, real-world problem-solving, portfolio development, expert tutor support, and career guidance. The Outcome Entry-level AI Engineer roles across multiple industries. Starting salaries: 35,000 45,000+ Who This Is For Beginner-friendly and suitable for career changers. No prior AI experience required. UK-based learners only. Apply now. Limited spaces available.

AI Engineer Programme Job Support Included Complete online training designed to take you from beginner level to your first AI Engineer role. Study part-time, build practical artificial intelligence and machine learning skills, and receive dedicated job support to help you secure employment. The Programme Complete this 1014 week online programme with approximately 1015 hours of study per week. Youll learn Python programming, machine learning fundamentals, data handling, and applied AI use cases. The programme includes hands-on projects, real-world problem-solving, portfolio development, expert tutor support, and career guidance. The Outcome Entry-level AI Engineer roles across multiple industries. Starting salaries: 35,000 45,000+ Who This Is For Beginner-friendly and suitable for career changers. No prior AI experience required. UK-based learners only. Apply now. Limited spaces available.

Senior Golang Developer - Kubernetes - Financial Services Excellent opportunity opens for an experienced Developer strong on Golang with experience in AWS and Kubernetes to join a highly regarded Financial Services entity's London office. You will act as the team lead and play a key role in building mission-critical financial applications that power trading, investment, and risk management systems across the firm. If you are passionate about working in a dynamic, fast-paced environment and are eager to apply your technical expertise to the financial services industry, this is the role for you. Key Responsibilities: • Design, develop, and maintain high-performance Back End services using GoLang to support financial applications and services, including trading platforms, investment systems, and risk management tools., • Build and deploy cloud-based solutions using Amazon Web Services (AWS), including services such as EC2, S3, RDS, DynamoDB, and Lambda to create scalable, reliable, and secure infrastructure., • Implement and manage containerized applications using Kubernetes, ensuring seamless orchestration, scaling, and resilience in a cloud environment., • Write clean, efficient, and well-documented code while following best practices for financial systems development, focusing on performance and security., • Collaborate with other development teams, business analysts, and stakeholders to define and refine requirements, and ensure that applications meet financial regulatory standards and business needs., • Optimize the performance of Back End services, ensuring low-latency responses and high availability, critical for financial services., • Implement CI/CD pipelines, automated testing, and monitoring systems to ensure the reliability and stability of production systems., • Proactively identify issues and bottlenecks in existing systems and propose solutions to improve the system's performance and scalability., • Proven experience (2+ years) in GoLang Back End development, with a strong focus on performance optimization and building scalable systems for high-volume, high-frequency financial applications., • Strong experience working with Amazon Web Services (AWS), including EC2, S3, RDS, DynamoDB, Lambda, and other cloud-native technologies., • Hands-on experience with Kubernetes for deploying, managing, and scaling containerized applications in a cloud environment., • Solid understanding of financial systems and services, particularly in areas such as trading platforms, investment management, and risk analytics., • Experience in building microservices architectures and working with APIs (RESTful, gRPC, etc.) to integrate various systems., • Strong knowledge of containerization (Docker) and continuous integration/deployment (CI/CD) practices., • Experience with database systems (relational and NoSQL) and working with financial data., • Familiarity with DevOps practices and tools to streamline the development life cycle, such as infrastructure-as-code (eg, Terraform or CloudFormation)., • Ability to troubleshoot and resolve issues in production environments, ensuring uptime and performance in high-pressure, mission-critical scenarios., • Excellent communication skills to collaborate effectively with cross-functional teams and stakeholders in a fast-paced financial environment., • Experience with serverless computing (AWS Lambda, etc.) to create efficient and scalable solutions., • Knowledge of financial industry regulations and standards, particularly around data security and privacy., • Familiarity with event-driven architectures or message queues (eg, Kafka, RabbitMQ) for Real Time data processing., • Experience with automated testing frameworks and continuous delivery tools like Jenkins, GitLab CI, or CircleCI. Golang Go AWS Kubernetes Terraform Bank Banking Finance Financial Services Crypto Blockchain Web3 Trading Exchange Digital Assets Hybrid Flexible Developer Software Engineer Backend Developer Golang Engineer Kafka Apache Kafka RabbitMQ AWS Lambda Cloud Platform

Actuarial Modelling Engineer Job Title: Analytics Platform Engineer Location: London (5 days per week in office) Salary: Competitive Overview A global specialty insurance and reinsurance organisation is seeking an Analytics Platform Engineer to join a technical actuarial analytics development team. The team builds and maintains a bespoke modelling and analytics platform used to support pricing, loss modelling, and portfolio management across the business. This role is suited to someone with strong technical and mathematical skills who enjoys building tools, working with large datasets, and collaborating with actuarial and risk teams to deliver practical analytical solutions. The Role Reporting to a Senior Engineer, you will contribute to the design, implementation, and maintenance of software and processes that support a proprietary modelling platform. You will work closely with actuarial, exposure management, and project teams to translate requirements into reliable, maintainable systems and data pipelines. Key Responsibilities * Contribute to the development of a proprietary modelling and analytics platform, particularly the Back End calculation components * Design and develop tools, reusable data pipelines, and datasets used in reporting and analysis * Work with actuarial, risk, and business teams to understand requirements and deliver effective solutions * Maintain and improve existing and Legacy codebases * Track development progress and maintain clear documentation * Implement testing and controls to reduce operational risk * Support the wider team with technical and analytical tasks as required * Build domain knowledge in insurance, reinsurance, and modelling * Stay current with modern engineering tools and practices Skills and Experience * Degree in Software Engineering, Mathematics, Physics, or a related quantitative discipline * Around 3+ years' experience in insurance, reinsurance, or another data-intensive environment * Experience working with SQL and large datasets (Microsoft SQL Server, Azure or similar preferred) * Experience working with version control in a team environment (Git preferred) * Exposure to parallelised or distributed computing environments * Experience implementing mathematical or statistical methods in production systems * Experience with Julia, Python, R, or similar languages * Familiarity with actuarial or risk concepts is beneficial * Ability to work in a collaborative, fast-paced environment Working Environment * Collaborative team working on complex modelling and analytics systems * Opportunity to work closely with actuarial and risk specialists * Exposure to high-impact analytical platforms used across the business

Job Title: Senior Actuarial Modelling Engineer Location: London (5 days per week in office) Salary: Up to £130,000 + benefits Overview A global specialty insurance and reinsurance organisation is seeking a Senior Quantitative Software Engineer to join a highly technical analytics and development team. The team builds and maintains a bespoke analytical platform that supports pricing, loss modelling, and portfolio management across the business. This is a senior, hands-on engineering role focused on designing and delivering robust software, high-performance calculation engines, and scalable data pipelines in a collaborative, cross-functional environment. The Role Reporting to the Head of Analytical Software Development, you will be responsible for designing, implementing, and maintaining software and processes that support a proprietary modelling ecosystem. The role requires close collaboration with actuarial, exposure management, risk, and project teams to translate complex requirements into efficient, production-grade solutions. Key Responsibilities * Develop and enhance a proprietary modelling and analytics platform, with a focus on Back End calculation engines * Design and build robust tools, reusable data pipelines, and reliable reporting datasets * Maintain, migrate, and modernise multi-language Legacy codebases * Work closely with actuarial, risk, and business teams to understand requirements and deliver effective long-term solutions * Ensure development progress is clearly tracked and documented * Implement testing, documentation, and controls to reduce operational and key-person risk * Contribute to best practices in software engineering, performance, and reliability * Support the wider engineering team with technical input and ad-hoc development work * Build strong domain knowledge in insurance, reinsurance, and quantitative modelling * Stay current with modern software engineering tools, techniques, and frameworks Skills and Experience * Degree in Software Engineering, Mathematics, Physics, or a related quantitative field * Strong experience working in insurance, reinsurance, or another quantitative financial environment * Proven experience working with SQL and large datasets (Microsoft SQL Server, Azure or similar preferred) * Strong experience using version control in a collaborative environment (Git preferred) * Experience working with high-performance, parallelised, or distributed computing environments * Experience with Julia strongly preferred; Python, R, or MATLAB also relevant * Experience using computational notebooks (eg Jupyter) for analysis and prototyping * Strong grounding in numerical methods, statistics, linear algebra, or algorithmic development * Experience delivering production systems in an agile or iterative development environment * Strong communication skills and ability to work with both technical and non-technical stakeholders Working Environment * Senior, hands-on engineering role in a collaborative and technically strong team * Fast-moving environment where engineering quality and long-term maintainability are valued * Opportunity to work on complex modelling and analytics systems with real business impact

Trainee AI Engineer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required. Train online at your own pace and land your first AI Engineer role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Our candidates earn £30,000-£45,000. Why AI? AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 – Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 – Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 – AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 – AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 – Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 – AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. What You Get · 100% online, self-paced training · Microsoft AI-900 certification included · 1-to-1 tutor and recruitment support · Real-world project experience · Job guarantee – get a job or your money back · Starting salary of £30,000–£45,000 We Get You Hired! We're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles. Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. We don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back. "Five months from complete beginner to AI engineer. Best decision I ever made." – Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps

Ensure you read the information regarding this opportunity thoroughly before making an application.Hybrid Working - 3 days/week remote (WFH), and 2 days/week working on-site from the office in Central London.

We're seeking Full Stack Data Engineers who want to leverage their technical skills in AI consultancy and Palantir engineering. You'll architect solutions that unify complex data landscapes, build workflows that drive smarter decisions, and partner with clients to deliver sustainable transformation.

TalentCo are delighted to be working with an AI startup looking to hire a high-calibre Lead AI Engineer into their growing engineering team in the UK, having recently closed a significant seed funding round. This is a senior individual contributor hire and can be based remote-first anywhere in the UK, for this London HQ'd startup. You will drive the technical evolution of the clients AI-first platform and serve as their resident AI expert. You will be a core software engineer architecting the complex systems that make AI useful in production, splitting your time between crafting complex AI processing architectures and hands-on data/backend engineering, with the rest spent doing whatever is needed to ship. As Lead AI Engineer you will: • Architect & Engineer AI Systems: You won’t just call an API; you will build robust processing architectures that leverage off-the-shelf LLMs, RAG pipelines, and context engineering to solve hard problems. You will benchmark these systems rigorously to ensure they actually work, not just "feel" smart., • Build the Backend Foundation: You will spend significant time in Python (FastAPI, SQLAlchemy) building the APIs, data structures, and services that power the product. You are an engineer who ensures the "AI" is delivered on reliable, production-grade rails., • Close the Data Loop: As we launch, you will lead the transition from "zero-shot" implementations to data-driven optimisation. You will instrument data collection, design online evaluation metrics, and deploy simple, effective ML models (e.g., logistic regression, boosted trees) to optimise user outcomes based on real feedback., • Mentor & Lead: You will work alongside full-stack engineers, upskilling the team on AI concepts and best practices. You are the "from-the-trenches" expert who helps the team distinguish between Twitter hype and engineering reality., • Strategically Advise: You will help Product and Leadership navigate the map of what’s valuable and what’s possible, steering the roadmap toward features that achieve business impact through data-driven optimisation. We want to hear from you if you bring: • Production Engineering (5+ years): You are a strong software engineer first. You have extensive experience building and maintaining backend services in Python (ideally FastAPI or similar async frameworks) deployed to modern cloud providers (GCP/AWS) or point solutions (Railway, Render, Vercel), • Applied AI Architecture: You have built complex applications using Foundation Models / LLMs. You understand context window management, prompting strategies, and how to chain models together to achieve reliable results., • Team-Oriented Mindset: Strong communication skills for explaining complex ideas to technical and non-technical audiences, and a passion for collaborating within cross-functional teams., • Passion and Pride in Shipping: A do-whatever-it-takes attitude to deliver against important business goals that help the entire team win., • Pragmatic Best Practices: An overarching desire to build efficient, scalable, and maintainable code, while managing the tradeoffs between technical debt and delivery speed. You’d rather ship a heuristic that solves the user's problem today than a perfect model two weeks late. What do they offer? • Base salary c£150k, • Remote-first with occasional trips to the London HQ to see the team, • Apple devices and the best AI tooling, • Meaningful early-stage share opportunities, • Career rocket fuel - real growth, real ownership, real impact

Trainee AI Technician – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required. Train online at your own pace and land your first AI Engineer role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Our candidates earn £28,000-£45,000. Why AI? AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 – Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 – Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 – AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 – AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 – Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 – AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. What You Get · 100% online, self-paced training · Microsoft AI-900 certification included · 1-to-1 tutor and recruitment support · Real-world project experience · Job guarantee – get a job or your money back · Starting salary of £28,000–£45,000 We Get You Hired We're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles. Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. We don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back. "Five months from complete beginner to AI engineer. Best decision I ever made." – Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps

You could be progressing your career in a senior, hands-on Principal Backend Engineer role at a global cryptocurrency market data and trade execution technology company that is experiencing great success and is growing a. Principal Backend Engineer / Developer (Node.

World Wide Technology (WWT), a global technology integrator and IT solutions provider.World Wide Technology, established in 1990 in St.Louis, Missouri, collaborates with OEMs like Cisco and Dell EMC to offer infrastructure security and custom app development services to Fortune 500 companies in vari

Job Description Job Title: Materials Engineer (Non-Metallic) Working Pattern: Full Time Working location: Bristol We have an exciting opportunity for a Materials Engineer (Non-Metallic) to join our Bristol team, supporting a next generation engine programme for the Defence sector. This role sits within the Defence Strategy and Future Programmes organisation and will be part of a dynamic integrated product team, working closely with design, materials and manufacturing engineers with functional alignment to Materials Engineering. This is a key role where you will lead the identification, testing and qualification of candidate non-metallic materials for new engine hardware, with a specific focus on ceramics and ceramic matrix composites (CMCs). You will drive structured test and qualification plans, build strong relationships with suppliers and partners, and help mature materials and processes from development through to application. Why Rolls-Royce? Rolls-Royce is one of the most enduring and iconic brands in the world and has been at the forefront of innovation for over a century. We design, build and service systems that provide critical power to customers where safety and reliability are paramount. We are proud to be a force for progress, powering, protecting and connecting people everywhere. We want to ensure that the excellence and ingenuity that has shaped our history continues into our future and we need people like you to come and join us on this journey. This role sits within our Bristol site, supporting technology delivery and materials capability for Defence Strategy and Future Programmes. We'll provide an environment of caring and belonging where you can be yourself. An inclusive, innovative culture that invests in you, gives you access to an incredible breadth and depth of opportunities where you can grow your career and make a difference. You'll be joining a collaborative, forward-thinking team where your insight and expertise will be valued. You'll have opportunities to influence technical decisions, shape materials and process strategies for future engine technologies, and progress your career with training and development support in one of the UK's most respected engineering businesses. What we offer We offer excellent development opportunities, a competitive salary, and exceptional benefits. These include bonus, employee support assistance and employee discounts. Your needs are as unique as you are. Hybrid working is a way in which our people can balance their time between the office, home, or another remote location. It's a locally managed and flexed informal discretionary arrangement. Due to the nature of work you will be expected to be on site a minimum of 4 days per week in this role. What you will be doing With this attractive opportunity you will get a chance to: Design and execute test plans for screening and qualification of non-metallic materials and processes. Test, evaluate and down-select candidate materials for next generation engine applications, focusing on high-temperature solutions. Assess the impact of manufacturing processes on material performance and repeatability. Coordinate external partners, including suppliers, universities and specialist test houses. Develop and maintain materials and process specifications and supporting technical documentation. Analyse data, characterise materials, and produce clear technical reports to support engineering decisions. Work within an integrated product team to support introduction and standardisation of materials and manufacturing routes. Who we're looking for At Rolls-Royce we put safety first, do the right thing, keep it simple and make a difference. These principles form the behaviours that guide us and are an essential component of our assessment process. They are the fundamental qualities that we seek for all roles. To be successful in this role you will need to: Be qualified to degree level (or equivalent) in Materials, Mechanical Engineering, Chemistry, or a related discipline (a Master's or PhD is welcome). Demonstrate strong technical judgement and a structured, evidence-based approach to materials evaluation and selection. Be able to plan and execute technical work packages, managing priorities, risks and stakeholders. Have strong written and verbal communication skills, with the ability to present technical information clearly. Be comfortable working with external organisations such as suppliers, universities and research partners. Enjoy working collaboratively in a multi-disciplinary environment with design, manufacturing and materials stakeholders. Preferred / nice to have Exposure to non-metallic materials used in aerospace or high-temperature applications, including composites and advanced material systems. Experience linking process, structure and properties, and using data to drive technical decisions. Familiarity with relevant processing and evaluation methods (for example surface preparation, machining, NDE, chemical processing and cleaning). Understanding of design and stress considerations for non-metallic materials. Ability to take technical ownership and support wider capability growth through knowledge sharing and continuous improvement. To apply for this role, you must be able to obtain SC clearance without any caveats to that clearance. Rolls-Royce will support the application for Security Clearance if you don't currently already have this in place. Due to the nature of work the business conducts and the protection of certain assets, you must hold a UK nationality . Any dual nationals will require additional scrutiny and background checks prior to commencing work. We are an equal opportunities employer. We're committed to developing a diverse workforce and an inclusive working environment. We believe that people from different backgrounds and cultures give us different perspectives which are crucial to innovation and problem solving. We believe the more diverse perspectives we have, the more successful we'll be. By building a culture of caring and belonging, we give everyone who works here the opportunity to realise their full potential. As part of our selection process, candidates in certain locations may be asked to complete an online assessment, which can include cognitive and behavioural aptitude testing relevant to the role. If required, full instructions for the next steps will be provided. Job Category Engineering Materials Posting Date 04 Feb 2026; 00:02 Posting End Date 03 Feb 2026PandoLogic. Keywords: Materials Engineer, Location: Bristol, ENG - BS2 9NX

Our client has built a reputation for solving some of the most complex data challenges in government and enterprise, earning industry recognition for innovation, engineering excellence, and strategic impact. Following a landmark acquisition by a global consulting powerhouse in 2025, the client now c

Role: Customer Support Engineer - GridOS (Kubernetes + Kafka)Experience with GridOS or other grid data management platforms.

Senior Mechanical Engineer 40MW Data Centre Project (UK).

Were looking for a Data Engineer with strong MLOps ownershipsomeone who builds reliable data pipelines. You wont be training models day-to-day like a Data Scientist; instead, youll xwzovoh enable Data Science by delivering high-quality datasets, reproducible training pipelines, robust depl.

Lead Node Developer / Backend Software Engineer (Node. You could be progressing your career in a senior, hands-on Node Developer role at a global cryptocurrency market data xwzovoh and trade execution technology company that is experiencing great success and is gr.

A global consultancy is looking for a number of Cost Managers to join their growing team which works across multiple industries including, but not limited to, civil infrastructure, data centres, defence and energy. The roles are available on a hybrid basis and there are roles available from Engineer through to Manager. 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. The Role xwzovoh As a Cost Manager, you'll be working on projects of varying sizes and c...

They are looking for a Staff Data Engineer to play a key role in scaling production data systems and raising engineering standards across the wider data function. As a Staff Data Engineer, you'll take ownership of complex, production-grade data pipelines and act as a technical leader within the data

As part of a multi-disciplinary analytics team, you'll take technical ownership of data engineering and analytical workflows that underpin exposure management and catastrophe analytics.

In the role you will be designing and developing complex data processing modules and reporting using Big Query andTableau.For a complete understanding of this opportunity, and what will be required to be a successful applicant, read on.In addition, you will also work closely with the Infrastructure/

Lead Backend Software Engineer / Developer (Go API Messaging) London onsite. You could be progressing your career in a hands-on Lead Backend Software Engineer role at a global cryptocurrency market data and trade execution technology company that is experiencing great success and is growing as a res

Senior Full Stack Data Engineer – Decho Group (Part of Accenture) About Decho Group Decho Group is a fast-growing Tech and AI consultancy, founded to solve complex data challenges for governments and enterprises. We specialise in Palantir technologies, advanced analytics, and AI-driven solutions that transform how organisations make decisions. In October 2025, Accenture acquired Decho Group, recognising our unique ability to combine deep engineering expertise with strategic advisory, tackling mission-critical problems in defence, healthcare, and commercial industries. Joining Decho means joining a consultancy where AI meets engineering excellence. You’ll be part of a team that thrives on curiosity, collaboration, and bold thinking, working on projects that genuinely change lives and industries. The Role We’re seeking Senior Consultant Engineers who want to apply their technical mastery in AI consultancy and Palantir engineering while shaping the future of data-driven decision-making. This is a hands-on, client-facing role where you’ll lead technical delivery, partner directly with stakeholders, and act as a trusted advisor. You’ll combine software engineering expertise with strategic problem-solving, working across data pipelines, operational workflows, and AI models to deliver transformation at scale. Key Responsibilities • Lead & Architect: Own the design of innovative solutions using Palantir software, ensuring scalability and long-term impact., • Engineer Data at Scale: Build, optimise, and maintain complex pipelines and ETL processes powering mission-critical decision models., • Strategic Workflows: Develop enterprise-grade workflows and decision-support tools that reshape operations across industries., • AI Leadership: Guide the integration of AI and machine learning models into client environments, ensuring measurable outcomes., • Client Engagement: Partner directly with senior stakeholders, translate business needs into technical solutions, and influence strategic direction., • Technical Excellence: Set engineering standards, champion best practices, and drive continuous improvement across teams., • Mentorship & Growth: Coach junior engineers, foster knowledge-sharing, and contribute to the Decho Lab’s innovation culture. What We’re Looking For • 5+ years of experience in software/data engineering with proven expertise in Python, SQL, and TypeScript., • Ideally experience with Palantir technologies (Foundry, Gotham, or similar platforms)., • Advanced knowledge of data engineering, ETL pipelines, and workflow design at enterprise scale., • Track record of leading teams, mentoring engineers, and delivering complex projects in client-facing environments., • Passion for AI, machine learning, and emerging technologies, with ability to translate innovation into impact., • Exceptional problem-solving, communication, and stakeholder management skills., • Curiosity, adaptability, and a drive to make a real-world impact. Why Join Us • Be part of a fast-growing AI consultancy now backed by Accenture’s global scale., • Lead mission-critical, client-facing projects across government, defence, health, and commercial sectors., • Gain hands-on experience in AI, advanced analytics, and Palantir technologies while shaping industry standards., • Build your career story as a senior leader driving transformation in data-driven decision-making., • Thrive in a culture that values innovation, collaboration, and bold ambition. Unfortunately we can not provide sponsorship for this opportunity

Lead AI Engineer (Enterprise | Greenfield AI) Location: UK (Remote-first) Travel: Regular on-site collaboration initially (weekly for the first couple of months), then approx. one in-person session every two weeks Salary: Up to £65,000 + benefits We’re hiring a hands-on Lead AI Engineer to take technical ownership of greenfield AI use cases in an enterprise environment. This is a pure individual contributor role with no line management, no programme ownership. You’ll be responsible for designing, building, deploying, and iterating AI systems that are actually used by the business. The emphasis is on real delivery: shipping AI into production, monitoring performance and safety, and improving outcomes over time based on adoption and impact. What You’ll Do • Own AI use cases end-to-end: design → build → deploy → monitor → iterate, • Build AI systems that work with enterprise data, including LLM-based and agentic workflows, • Define and track success metrics for AI use cases, focusing on adoption and business impact, • Implement monitoring, evaluation, and safety controls for live AI systems, • Work closely with business stakeholders to ensure AI solutions are trusted, usable, and valuable, • Operate in a largely greenfield environment, shaping patterns and best practices as you go The Tech Environment The team is platform-flexible. Experience with one or more of the following is relevant: • Enterprise data & AI platforms (e.g. Databricks, Microsoft Fabric, Azure AI services, or comparable), • LLM-based systems (RAG, agentic workflows, prompt engineering, evaluation), • Python and SQL in production environments, • AI monitoring, evaluation, and lifecycle management Low-code or assisted AI tooling is absolutely fine — what matters is a solid understanding of how AI systems actually work, including their risks and limitations. What We’re Looking For • Strong hands-on experience delivering AI solutions into production, • A solid grasp of AI fundamentals, safety, monitoring, and evaluation, • Comfortable owning outcomes rather than just building prototypes, • Able to explain AI behaviour and limitations to non-technical stakeholders, • Happy in a senior individual contributor role, focused on impact rather than hierarchy What This Role Is Not • Not a people management role, • Not an AI strategy or architecture-only position, • Not a research-only or POC-only role This role is for someone who enjoys building, shipping, and improving AI systems that matter. Why Join • Genuine greenfield AI work with real ownership, • Clear success measures based on impact, not slide decks, • Supportive, delivery-focused environment, • Remote-first with meaningful in-person collaboration If you’re an AI engineer who enjoys turning ideas into working systems, understands the responsibility that comes with deploying AI, and wants to focus on delivery rather than titles we’d love to hear from you. How to apply: If this role looks like it is for you, please send your CV to Kris Kobi:

Machine Learning Engineer / Junior Machine Learning Engineer Level: Junior ML Engineer (£56,000) | ML Engineer (£65,000) Location: London About the Role Our client is a global defence, security, and intelligence consultancy delivering high-assurance digital, cyber, and AI solutions into some of the UK’s most critical national security missions. They are growing their National Security AI capability in London and are hiring Machine Learning Engineers at both junior and mid-level. These roles sit within a specialist team delivering applied machine learning and GenAI solutions across defence, space, and wider government environments. The work spans exploratory research, rapid prototyping, and full production deployment. You will be solving complex, real-world problems using modern ML and LLM techniques, working on sensitive, high-impact systems where quality, governance, and operational readiness genuinely matter. What You’ll Be Doing • Designing and developing machine learning models across forecasting, classification, and anomaly detection use cases., • Building and deploying GenAI and LLM-enabled solutions, including prompt-driven and RAG-based architectures., • Running structured experimentation cycles, defining hypotheses, designing experiments, and evaluating results within governance constraints., • Transitioning validated experiments into production-ready systems in collaboration with software and platform engineers., • Building and maintaining ML pipelines on AWS using modern MLOps and LLMOps tooling., • Implementing experiment tracking, model versioning, and reproducibility with full auditability., • Supporting production models through monitoring, evaluation, and continuous improvement., • Applying responsible AI practices including explainability, validation, and fairness assessment., • Communicating outcomes and trade-offs clearly to technical and non-technical stakeholders. Ideal Background You will have experience in many of the following areas. Expectations scale by level. • Hands-on experience building ML models in Python using libraries such as scikit-learn, XGBoost, PyTorch, or TensorFlow., • Experience deploying ML workloads on AWS, including services such as SageMaker, Lambda, and S3., • Understanding of experiment design, evaluation techniques, and statistical reasoning., • Experience taking models from experimentation into production environments., • Familiarity with MLOps tooling such as MLflow, Weights & Biases, or Data Version Control., • Experience developing or integrating LLM and GenAI applications, including prompt engineering and retrieval-augmented generation., • Ability to work across disciplines and communicate technical findings clearly., • A pragmatic mindset and good judgement about when machine learning is and is not the right solution. Nice to Have • Experience with advanced LLM techniques such as agents, tool use, or agentic workflows., • Experience with vector databases for RAG use cases., • Familiarity with feature stores, containerisation, or orchestration platforms., • Exposure to infrastructure-as-code tooling such as Terraform or CloudFormation., • Experience with large-scale data processing frameworks., • Background working in regulated or high-assurance environments. Clearance Reality Security clearance is required for this role. Candidates who are not currently cleared must be eligible and willing to go through the process. What You’ll Receive • Salary up to £65,000 for ML Engineer and up to £56,000 for Junior ML Engineer., • Hybrid working with flexibility around core hours., • 25 days annual leave with options to buy, sell, or carry over., • Competitive pension and flexible benefits package., • Company bonus scheme., • Dedicated career management and structured progression pathways., • Access to internal communities focused on diversity, inclusion, and wellbeing. Who This Role Suits Best This role suits engineers who want to work on meaningful, production-grade ML systems rather than proofs of concept. It is a strong fit for candidates who enjoy balancing experimentation with operational discipline and want their work to have tangible national impact.

This role is with one of Dex’s trusted Partner companies. We work closely with their teams to truly understand their culture, goals, and what they’re looking for, so we can match you with the right opportunity for your goals! If you’re interested, apply here, or head to the website, where you can sign up and speak to Dex. After your call, you'll be sent the full match details. We’ll help manage your applications, and find other great matches to work you'll love. The Opportunity Dex is partners with some of the world’s most prestigious quantitative trading firms and systematic hedge funds. These organizations operate at the absolute bleeding edge of technology, treating the global financial markets as a complex data science problem. They are deploying massive compute clusters and proprietary machine learning models to trade billions of dollars daily. If you're an engineer who cares about nanoseconds, cache locality, and architecting petabyte-scale infrastructure, this is the pinnacle of technical challenge. What You’ll Work On • Architect Low-Latency Infrastructure: Design and implement the critical path for trading execution, building order management systems and market connectivity layers where performance is measured in microseconds., • Scale Data Pipelines: Engineer elegant, distributed systems capable of ingesting and processing petabytes of market and alternative data, ensuring absolute consistency for research teams., • Operationalize Machine Learning: Bridge the gap between research and production by deploying complex ML models into live environments under strict latency constraints., • Optimize the Stack: Go "close to the metal" to optimize performance across networking, I/O, and compute layers, squeezing maximum efficiency out of hardware., • Build World-Class Observability: Create robust monitoring and telemetry systems to provide real-time insights into pipeline health, trading activity, and model behavior., • Work with the Best: Work side-by-side with world-class researchers and mathematicians to translate theoretical strategies into production-grade code. What You'll Have • Polyglot Mastery: Exceptional command of at least one major systems language (C++, Rust, Java) for low-latency components, or Python for data and ML workflows., • Distributed Systems Expertise: Deep experience building high-throughput, fault-tolerant systems using modern messaging standards (e.g., Kafka, ZeroMQ, NATS)., • Systems-Level Intuition: You are comfortable debugging and profiling at the OS level, understanding memory management, CPU architecture, and network stack optimization., • Data Infrastructure: Familiarity with the modern data stack, including time-series databases, object stores, and streaming frameworks like Apache Flink or Spark Streaming., • Engineering Rigor: You write clean, testable, and reliable code. You understand that in this environment, a system failure can cost millions in seconds., • Bonus - ML Engineering: Experience with model serving, feature stores, or integrating ML pipelines into live production systems is highly valued. (Note: Previous finance experience is not required). To be considered for this role and others like it apply directly, or sign up to Dex and we'll help find the work that matters to you!