Are you passionate about integration, technology, and intelligent buildings? Do you thrive on solving complex problems and turning innovative ideas into real-world solutions? If so, how about integrating some of the smarted technology with some of the worlds biggest names in technology!

As part of a complex and forward thinking Integration Team, you’ll play a key role in an organisation that champions innovation, precision, and teamwork. With a proud legacy of excellence and a bold, forward-thinking mindset, Lloret continues to push boundaries in Building & Energy Management Systems—and you can be part of that journey.

This is a flexible, site-based role, primarily working on exciting projects across Central London!

Job responsibilities:

* Delivering and supporting bespoke system integrations across complex building environments

* Collaborating with engineers on-site to troubleshoot and optimise integrations

* Interpreting technical documentation, schematics, and submittals with confidence

* Identifying opportunities to enhance system design, performance, and efficiency

* Working to project deadlines while maintaining the highest technical standards

Experience required:

* Hands-on integration experience with BMS and building protocols such as BACnet, Modbus, and MQTT

* Proficiency in a high-level programming language (Python or Java) with the ability to develop scripts and bespoke integrations

* Ability to read and interpret technical schematics and manufacturer documentation

* Confident communicator, able to collaborate with engineers to resolve on-site issues

* Able to understand electrical as well as basic mechanical systems

Job Title: AI Engineer / Data & AI Scientist (LLM, Generative AI, Python)

We are recruiting for an AI Engineer / Data & AI Scientist to join a high-impact programme building next-generation conversational AI and generative AI platforms. This role focuses on developing production-grade LLM applications, agent-based AI systems and RAG pipelines used in large-scale customer-facing environments.

This is an opportunity to work on advanced AI assistant and conversational AI technology, building scalable multi-agent architectures and generative search systems using modern AI frameworks.

Key Responsibilities

* Design and build LLM-powered applications using Python and Generative AI frameworks

* Develop RAG (Retrieval Augmented Generation) pipelines and AI orchestration workflows

* Build and deploy agent-based AI systems using tools such as LangGraph, CrewAI or similar frameworks

* Engineer scalable AI infrastructure across Azure and GCP environments

* Implement prompt engineering, model evaluation and LLMOps monitoring

* Develop AI products including conversational AI assistants, summarisation tools and generative search capabilities

Required Skills

* Strong Python development experience

* Experience building production LLM or Generative AI applications

* Knowledge of RAG pipelines, prompt engineering and vector search

* Experience with agentic AI frameworks (LangGraph, CrewAI or similar)

* Exposure to LLMOps, model evaluation or monitoring

* Experience with cloud AI platforms such as Azure AI or Vertex AI (GCP)

Desirable Experience

* Conversational AI or AI assistant platforms

* Multi-agent architectures

* Responsible AI, AI ethics or guardrail design

* Agile / Scrum environments

This is an excellent opportunity for an AI Engineer, Machine Learning Engineer, LLM Engineer or Generative AI Engineer looking to build production AI systems and next-generation conversational AI platforms.

Apply now to work on cutting-edge generative AI and LLM technologies

Certain Advantage is hiring for a Technical Lead - Stress based in the Derby area.
This role is on a permanent basis and is site-based.

The Company
We’re working with an engineering company specialising in managing complex infrastructure projects, with a strong focus on nuclear energy, renewable energy, and digital transformation solutions.
Does this sound like your next career move?
If you’re ambitious to grow, this may be your next role?

The Role:
This role is for a Technical Lead - Stress—someone ambitious and ready to make an impact. You’ll be results-oriented and driven to succeed.
You’ll be leading a small, experienced, and collaborative team, and be responsible for:

Finite Element Analysis methods
Calculation reviews
Modelling
Assist in achieving business targetsThe Individual We’re looking for people who can show:

Transferable skills from highly regulated sectors
Expertise in fatigue, fracture, thermal, and structural stress assessments using finite element analysis
Finite Element analysis in ABAQUS
CRACKEN or alternative fracture assessment
Familiar with the Gated review process
Code assessment to ASME B&PVC and R6; RCC-M
Knowledge of structural integrity & defect tolerance assessments
Python scripting in the ABAQUS environment is desirable
Fatigue crack growth & initiation experience is desirableThe Benefits:

Negotiable salary
Training and Development
Career progressionDoes this sound like your next career move? Apply today.

Working with Certain Advantage
We go the extra mile to find the best people for the job. If you’re hunting for a role where you can make an impact and grow your career, we’ll work with you to find it.
We work with businesses across the UK to find the best people in Finance, Marketing, IT and Engineering. If this job isn’t for you, head to (url removed) and register for job alerts and career guidance tips

Data Architect | Hybrid | RCT (South Wales)

IntaPeople are proud and excited to be appointed to recruit an experienced Data Architect for a Welsh-based not-for-profit sector client on an exclusive growth project.

This is a very exciting opportunity to join their fast-growing Data function in this newly created position. You will be joining the data team as one of the first handful of team members in this area of the business which will work with external partners to build out the organisations data capability offering. As a Data Architect, you will be responsible for designing, building, and maintaining robust, scalable, and secure data pipelines and platform that enable them to make data -driven decisions at a enterprise level.

Working closely with the ‘Head of Data Engineering’ you will help grow out this data function with the recruitment of further data engineering resources whilst working closely with solutions architects and Software Engineers. You will also get the opportunity to progress into a leadership role if this suited the individuals’ desires and capabilities.

You will shape, govern and assure the organisation’s data architecture, defining, designing and maintaining strategic data models, standards, flows and governance structures that support organisational goals, ensure compliance, foster collaboration across business areas, and enable the organisation to make data-driven decisions

Essential Skills

Proven experience as a Senior Data Engineer or Data Architect (or similar/related role).

Experience with Enterprise level Data sets.

Expertise and practical experience in designing and aligning data models across multiple subject areas, applying recognised patterns and industry standards.

Familiarity with structured architectural approaches found in TOGAF (data architecture) or equivalent.

Proven experience defining and evolving data governance, including data quality, metadata, lineage, and policy assurance across services.

Strong capability in data profiling, source system analysis and identifying links across problem domains to define common, reusable solutions.

Experience of communicating technical information and data to a non technical audience and working collaboratively with analysts, architects, and product owners to deliver data solutions that meet user and organisational needs.

Ability to lead and mentor other team members.

Demonstrable knowledge of data modelling and data warehousing within platforms such as Azure or AWS.

Practical experience with Microsoft Azure services, including Azure Data Lake (Gen2), Synapse, Event Hubs, and Cosmos DB, within scalable cloud -based architectures.

Robust understanding of data governance, data quality, and metadata management.

Desirable skills

Experience with Azure Data Factory, Databricks, or Apache Spark, following modern ETL/ELT principles.

Experience in using Git, Azure DevOps, or GitHub Actions for version control, CI/CD, and collaborative data delivery.

Experience with Big Data.

Certification in data architecture or governance frameworks (e.g., TOGAF, DAMA, DCAM, EDMC).

Experience of using programming languages such as Python, Scala and SQL

Welsh language skills.

Key Responsibilities (at a glance):

Establish Data strategies and data modelling internally within the data estate

Lead the design and oversight of enterprise‑aligned data models and supporting data architecture, ensuring that all modelling approaches follow organisational standards, recognised patterns, and enable scalable, high‑quality data flows across services.

Provide expert architectural guidance to technical teams delivering cloud‑based data platforms, ensuring that data integration, modelling, metadata and design decisions align with organisational and enterprise-wide standards

Work closely with other business leaders to maintain governance and compliance within their data estate.

Work closely with data analysts,data engineering, Enterprise and solution architects, DevOps, and business stakeholders through regular communication and collaborative planning to ensure data solutions are closely aligned with business objectives and effectively meet user needs.

Contribute to the development and execution of the Data Strategy by maintaining thorough documentation of data processes, architectures, and workflows to ensure all technical and process information is systematically recorded, updated and data initiatives deliver business value and are aligned with broader technology and organisational goals

Research into emerging technologies and upcoming trends

Provide oversight to teams building data processing pipelines and integration patterns, ensuring their artefacts are consistent with data architecture principles and metadata strategies.

Lead on the introduction of foundational data management capabilities to improve trust, accessibility, and efficiency in an organisation that has limited data management capability, lacks data management practices, including governance, metadata standards, and quality controls.

Design, implement, and optimise physical data models that align with pipeline architecture, by using the approach that ensures efficient query performance, scalable storage, and robust integration and delivers adaptable and resource -efficient data processing, meeting the organisation’s evolving analytical and operational demands.

Managing the aspirations of a variety of stakeholders to enable successful project delivery can be challenging, especially when their priorities may differ or even conflict and require reconciliation to meet business and project needs.

What you’ll get in return (at a glance)

A salary of circa £62,500 - £67,500 (depending on experience)

28 days annual leave + public bank holidays

Hybrid working - To be based in their brand new, modern offices 1-2 days per week

A flexible working environment

Competitive Legal and General pension Scheme (8% employer contribution)

4 x Death in service

The opportunity to work on modern and industry changing projects

Progression and development opportunities

Free Rail travel throughout Wales and discounted throughout the UK

Salary sacrifice scheme such as – cycle to work, electric vehicle

A chance to truly contribute to large scale digitalisation projects within Wales

For more information click APPLY now or for a confidential chat call Nathan Handley on (phone number removed).

This role is commutable from Swansea, Bridgend, Pontypridd, Cardiff and Newport or surrounding areas

London / Colchester

Permanent - Hybrid
Up to £70,000 + bonus

VIQU have partnered with a leading technology-driven organisation seeking a Linux Engineer to join their growing Technology team. This is a hands-on, technically focused role where the Linux Engineer will support and optimise a mission-critical SAP HANA platform running on SUSE Linux Enterprise Server, while also contributing to cloud integration with Microsoft Azure. The role blends BAU support with project delivery, providing scope to influence platform improvements and work alongside a skilled infrastructure and DevOps team.

Key Responsibilities:

• Manage and maintain SUSE Linux Enterprise Server (SLES) environments.
• Monitor systems, troubleshoot issues, and optimise performance.
• Ensure system security and compliance with industry standards.
• Automate tasks using Bash, Python, or Perl scripts.
• Design, deploy, and manage Linux workloads in Azure.
• Implement and manage virtual networks, storage, and Azure resources.
• Ensure high availability and disaster recovery of critical systems.
• Use Azure DevOps for CI/CD pipeline automation and infrastructure as code (IaC).
• Collaborate with developers, DBAs, and network engineers to provide technical guidance.
• Document system configurations, procedures, and troubleshooting steps.

Key Requirements:

• Proven experience as a Linux Administrator, ideally with SLES.
• Hands-on SAP HANA administration and optimisation experience.
• Proficiency with Microsoft Azure, including ARM templates, Azure CLI, and PowerShell.
• Strong scripting skills (Bash, Python, Perl) for automation.
• Experience supporting large-scale enterprise environments.
• Excellent problem-solving and collaboration skills.
• SUSE or Microsoft Azure certifications are a plus.

Apply today to speak with VIQU in confidence or contact Belle Hegarty via the VIQU website
Know someone exceptional for this Linux Engineer position? Refer them and receive up to £1,000 if successful (terms apply).
Follow us on LinkedIn @VIQU IT Recruitment for more exciting opportunities.

We are working with a leading telecommunications company based in Cambridge who are looking to a Functional Test Engineer to their growing team. This is a full-time permanent position and offers hybrid working.

Key responsibilities will include:

* Working as part of a software scrum team

* Reading and understanding requirements documentation provided by internal teams

* Reviewing user stories

* Involvement in test planning, test execution and reporting to stakeholders

* Designing functional test cases and executing them across embedded devices, software components and APIs

* Analysing logs

* Collaborating closely with developers and internal stakeholders

The successful candidate will have:

* Experience in a similar role

* Experience with functional testing in an Agile software team

* Experience testing complex or embedded systems

* Strong knowledge of test automation tools

* Experience with Python or C# for sprint-level testing

* Ability to analyse logs from embedded systems, linux or radio firmware

* ISTQB certification

If this role looks like your next challenge, please contact Jamie ASAP or apply via this advert!

We endeavour to reply to every candidate, every time but if you haven’t heard back within 10 days, please understand that unfortunately, you have been unsuccessful for this position or that the position has been filled.

Please call the office or send an email to discuss other potential positions

The opportunity:

We are looking for a proactive and committed Systems Proving Engineer to join the Integration and Systems Validation team in the Naval Based Air Defence domain. Due to contracts won and expected, this is an exciting time to join an expanding team.

We are looking for a broad-based Systems Proving engineer who will be able to:

Work with the systems engineering team and design teams to plan, generate and execute trials.

Liaise with the systems engineering team and design teams to ensure adequate trials data is acquired and to investigate and resolve design issues.

Generate trials documentation

Prepare, deliver and follow up internal and external Trials Readiness Reviews

Conduct post trials data analysis and reporting

Conduct and/or support trials including

Laboratory based functional integration trials / system trials

Ground based trials

Harbour trials and sea trials

Firing Trials

Trials in foreign countries

In addition, the candidate will assist with:

Lab Management responsibilities (e.g. maintain risk assessments, asset management, host audits, maintain lab safety etc.)

Maintaining hardware and software configuration control

The job will involve opportunities to travel within the UK and abroad.

What we’re looking for

Experience of working in one of the following environments:

System Integration

Design Proving and Trials

Naval Integration

Missile Test

Interface Design

System assessment and acceptance

Design Verification

Electrical / mechanical construction and interfacing

Electronic design/test

Network integration

Plus:

Be able to communicate with a wide range of internal customers, sub-contractors / partners/ suppliers at both engineering and management levels

Beneficial to have experience of MBSE tools, e.g. DOORS, Rhapsody, RTC

Beneficial to have experience of coding, especially Python

Hybrid working pattern: 2-3 days a week onsite

Security Clearance: British Citizen or a Dual UK national with British citizenship.

Restrictions and/or limitations relating to nationality and/or rights to work may apply. As a minimum and after offer stage, all successful candidates will need to undergo HMG Basic Personnel Security Standard checks (BPSS), which are managed by the MBDA Personnel Security Team.

What we can offer you:

Company bonus: Up to £2,500 (based on company performance and will vary year to year)

Pension: maximum total (employer and employee) contribution of up to 14%

Overtime: opportunity for paid overtime

Flexi Leave: Up to 15 additional days

Flexible working: We welcome applicants who are looking for flexible working arrangements

Enhanced parental leave: offers up to 26 weeks for maternity, adoption and shared parental leave -enhancements are available for paternity leave, neonatal leave and fertility testing and treatments

Facilities: Fantastic site facilities including subsidised meals, free car parking and much more

Location: Newcastle Upon Tyne
Salary: Up to £60k

Due to the nature of the work, this role requires candidates to undergo Security Clearance. Applicants must have at least 5 years of UK address history at the point of application.

Who is our client?
Our client is a global professional services organisation delivering technology, consulting and digital solutions to businesses across a wide range of industries. They work on complex transformation projects for both private and public sector clients and provide employees with opportunities to develop their skills within an innovative and collaborative technology environment.

The Role:
As a DevOps Engineer, you will:
Work within a DevOps team to deliver environments and tools that support development and testing activities.
Automate the provisioning of integrations between systems using APIs and modern cloud technologies.
Configure and maintain tools used across the development lifecycle including CI/CD and testing platforms.
Build automated processes that enable development teams to adopt continuous integration and continuous testing practices.
Support Scrum teams by maintaining reliable, scalable development and testing environments.
Contribute to the improvement of development workflows and operational efficiency through automation and DevOps best practices.

What the Successful DevOps Engineer can expect from their duties within the role:
Delivering and maintaining development, testing and deployment environments.
Automating infrastructure provisioning and software deployment processes.
Implementing monitoring, logging and alerting solutions to maintain system performance.
Working closely with development teams to improve CI/CD pipelines and DevOps practices.

The Successful DevOps Engineer will have experience in this tech stack:
Continuous Integration and Continuous Deployment tools such as GitLab, Jira or CodeBuild
Infrastructure as Code tools such as CloudFormation, AWS CDK or Terraform
Automation tools such as Ansible for infrastructure provisioning and environment setup
Monitoring and logging tools such as CloudWatch, AppDynamics, Kibana, Splunk or Prometheus
Public or private cloud platforms and virtualisation technologies
RESTful APIs and integrating them within DevOps pipelines
Agile and Lean software delivery methodologies
Linux based environments and system administration
At least one scripting language such as Python, Node.js, Typescript, PowerShell or Bash

Some Additional experience that is highly desirable but not required for this role are:
Experience introducing DevOps practices to new projects or teams
Experience defining and managing DevOps implementation roadmaps
Experience contributing to technical architecture and system design
Knowledge of virtual networking or functional and performance testing

Benefits
The Successful DevOps Engineer will benefit from these perks that come with the role:
Competitive salary
25 days vacation per year
Private medical insurance
Three extra leave days per year for charitable work
Opportunity to work in a hybrid environment and collaborate with global teams

If you are interested in this role, or have the experience required, please apply below.Reference: AMC/KPE/DVOA

ML & AI Engineer – Python, LLM, RAG, GCP We are seeking a Machine Learning / AI Engineer to help build and deploy production-grade generative AI and LLM systems powering next-generation conversational digital experiences. This role focuses on designing and engineering LLM applications, RAG pipelines and scalable AI infrastructure using Python and Google Cloud (GCP). You will work on cutting-edge agentic AI and conversational AI platforms, building services that support intelligent assistants and automated customer interactions. Key Responsibilities \* Build and deploy LLM-based applications and generative AI solutions \* Develop RAG (Retrieval Augmented Generation) pipelines \* Engineer scalable microservices-based AI platforms \* Design and maintain data pipelines using Python and Spark \* Implement CI/CD pipelines for machine learning and AI systems \* Work with GCP services including Vertex AI, BigQuery, Dataflow, Spanner and Firestore \* Contribute to prompt engineering, LLM evaluation and monitoring \* Build integrations between AI agents and enterprise systems Required Skills \* Strong Python development experience \* Experience building LLM or generative AI applications \* Knowledge of RAG pipelines and prompt engineering \* Experience with microservices architecture and CI/CD \* Hands-on experience with Google Cloud Platform (GCP) \* Familiarity with Spark or large-scale data pipelines Nice to Have \* Experience with LangChain, LangGraph or agentic AI frameworks \* Knowledge of multi-agent architectures or AI orchestration \* Experience building production AI platforms This is an opportunity to work on large-scale AI engineering challenges, delivering production AI systems and intelligent digital assistants using modern LLM, generative AI and cloud-native technologies

Founded in 2001, Resident Advisor (RA) is one of the world’s longest-running music media brands and a cornerstone of the dance, electronic and DJ ecosystem. The site’s audience of over 7 million monthly users is drawn in by a combination of news, editorial, club listings and ticketing, RA-branded events at venues and festivals worldwide, original films and a weekly mix series that has run for 20 years.

Purpose of the role:

We’re looking for a Lead Platform Engineer passionate about electronic music to join our Core Platform team. You’ll lead a small, focused team helping scale our high-traffic infrastructure that handles massive spikes during on-sale events. Our tech stack includes Node.js/.NET microservices, PostgreSQL/MSSQL databases, ElasticSearch, Redis, and Kafka running on AWS EKS (Kubernetes), managed via Terraform with CI/CD pipelines and DataDog monitoring.

Your responsibilities include improving infrastructure performance and reliability, driving modernization and cost optimization, developing shared components (i.e. auth systems, GraphQL gateways), enhancing developer experience, maintaining E2E testing systems, and creating internal tooling. This is an opportunity to solve challenging scale problems while shaping the technical foundation that powers RA’s products for the electronic music community.

Key responsibilities

• Managing and improving AWS infrastructure using infrastructure-as-code practices
• Database maintenance and query optimization
• Cloud cost optimization and resource efficiency
• Researching, planning, and leading the evolution of backend infrastructure, transitioning from reactive maintenance to a proactive, future-proof platform roadmap
• Providing functional and technical training to the broader development team, fostering a culture of shared knowledge and operational excellence
• Writing application code to support infrastructure tooling and shared platform services
• Leading, mentoring, and supporting a team of two site reliability engineers and one QA Engineer including regular 1:1s, goal setting, and performance feedback
• Owning team capacity planning and workload prioritization, ensuring the right work gets done in the right order
• Collaborating with the QA Engineer to define and uphold quality standards, integrating QA practices into the wider development team’s process
• Acting as a technical escalation point for your team and a key voice in broader platform and architecture decisions

Required Skills:

• Experience working with AWS
• Experience with Kubernetes and containerized application deployment
• Experience with infrastructure-as-code technologies (Terraform preferred)
• Experience deploying and maintaining SQL-based databases (PostgreSQL or MS SQL Server)
• Experience writing production-level application code
• Experience building and maintaining CI/CD pipelines
• Experience with git and version control workflows
• Strong documentation writing skills and commitment to knowledge sharing
• Proven experience leading or mentoring engineers in a formal or informal capacity
• Strong interpersonal skills with openness to giving and receiving feedback
• Fluent English communication skills (written and verbal)
• Experience with DataDog or similar for monitoring and alerting

Desired Skills:

• Experience with both PostgreSQL and MS SQL Server
• Advanced SQL query optimization skills
• Experience deploying and maintaining Kafka for event-driven architectures
• Experience deploying and maintaining ETL pipelines
• Deep understanding of Site Reliability Engineering principles and best practices
• Experience with backend languages such as C# and Node.js
• Experience with scripting languages (such as Bash, Python, PowerShell)
• Experience managing high-traffic systems with significant load variations
• Familiarity with QA methodologies and E2E testing frameworks, and an appreciation for how reliability and quality practices intersect

What we offer you:

• Generous annual leave policies aimed at promoting work-life balance.
• Flexibility in working arrangements, offering hybrid or remote work options based on role requirements and location.
• Matching pension schemes and/or 401k.
• Comprehensive staff wellbeing initiatives, featuring regular activities and workplace programmes to support mental and physical health. This includes discounted Classpass memberships, and custom-fitted earplugs.
• Company-led social events, team lunches, and discounts on RA merch.
• Paid annual volunteering allowance, encouraging contributions to community projects and charities you care about.
• Regular company-wide Q&As with senior leadership, along with ongoing virtual educational training sessions for all staff.
• A transparent internal company culture committed to diversity, equity, and inclusion (see:https://ra.co/about/diversity).
• Active involvement in community projects within the electronic music community (see: https://ra.co/about/community).

More about RA:

As an independent company run by devoted dance music enthusiasts, our mission is to bring together the world’s electronic music communities. Our Global Contributor Network (GCN) and international teams help us establish connections with hyper-niche local scenes.

We became B-Corp certified in 2024, which counts us among businesses leading a global movement for an inclusive, equitable, and regenerative economy and part of a community that meets high social and environmental impact standards.

We especially welcome applicants from diverse backgrounds, abilities, ethnicities, experiences, gender identities, and sexual orientations. We aim for our team to reflect the communities we engage with. We ensure everyone is valued and respected by actively promoting equality, diversity, and inclusion in our workplace.

Our values:

• Electronic music is art.
• We celebrate the progressive values that underpin electronic music.
• We advocate for a more inclusive and equitable electronic music community.
• We honour the past, present and future of electronic music.
• We use innovation to empower the community.
• We choose honesty over gain and purpose over profit.
• We’re always front left

This role is a full-time position, based in London. Please note: This position requires applicants to be based in London and to work from the office three days per week. The annual salary range for this role is £75,000 £85,000.This listing will be open for a maximum of two weeks from the 6th March.

We partner with fast-moving engineering teams who build and run their businesses in the cloud. They need pragmatic, code-literate security specialists and thats where you come in.

The Role

Were looking for a hands-on AWS Security Architect who lives and breathes AWS. Youll dissect designs, model attack paths, and show engineering teams what good really looks like. Depending on the engagement, you might run a threat model, assess CI/CD pipelines, learn a vendor DSL for a PoC, or build internal tooling. We dont expect you to know everything just to be curious, practical, and willing to dive in.

What Youll Do

• Threat Modelling & Architecture Reviews: Break down AWS services, map trust boundaries, build attack trees, and define security requirements before code ships.
• Security Automation: Build IaC-driven checks, Lambda/Step Function tooling, CI/CD gates, and CSPM rules to enforce secure defaults at scale.
• Hands-On Testing & Hardening: Perform cloud-native testing (IAM escalation, container escape attempts, infra abuse) and guide fixes directly via PRs.
• DevSecOps Enablement: Pair with platform teams, review Terraform/CloudFormation/Kubernetes, and promote least privilege, logging, and runtime controls.
• Knowledge Sharing: Contribute to documentation, demos, and continuous learning within the team.

What You Bring

Must-Haves

• Deep AWS internals knowledge
• Proven threat-modelling experience (STRIDE, attack trees, etc.)
• Strong coding skills (Python, Go, Rust, etc.)
• IaC expertise Terraform, CrossPlane, Pulumi, CloudFormation, AWS CDK
• CI/CD security automation experience (GitHub Actions, GitLab CI, Jenkins, etc.)

Nice-to-Haves

• AWS Security Specialty, SANS, OSCP (skills over certificates, though!)
• Multi-cloud or hybrid security experience
• Container security & supply-chain/SBOM tooling
• Applied cryptography fundamentals (KMS, envelope encryption, etc.)
• Incident response or red/blue/purple team exposure
• OSS security contributions or AWS community involvement
• Technical / IT degree (2:1 or above)

• Role/Job title: AI Architect
• Mode of working London- 3 days onsite
• Type of Employment- Permanent

The Role:

As an Artificial Intelligence Architect, you will lead client-facing initiatives at the forefront of Generative and Agentic AI. This high-impact, senior consulting role blends visionary thinking with deep technical expertise, solution architecture, and strategic advisory. You will be instrumental in shaping innovative AI solutions that drive transformation across enterprise environments.

Your Responsibilities:

• Client Engagement: Partner with sales leaders to qualify opportunities, shape proposals, and build compelling business cases. Act as a trusted advisor to clients during discovery sessions, workshops, and bid processes.
• Solution Design: Translate client needs into fit-for-purpose Data & AI solutions, leveraging modern cloud platforms (Azure/AWS, with GCP/Oracle as a plus). Design AI interventions for application support, monitoring, and business operations.
• Technical Leadership: Lead complex implementations that deliver measurable outcomes. Architect and scale GenAI chatbots and Agentic AI solutions. Evaluate and select appropriate models, frameworks, and orchestration tools.
• Thought Leadership: Produce thought leadership content, refine go-to-market propositions, and maintain strong knowledge of the competitive landscape.
• Collaboration: Work closely with cross-functional teams-including data science, engineering, and business stakeholders-to identify opportunities and design robust AI solutions. Foster cross-functional collaboration between various stakeholders like business, data science, and engineering.
• Innovation: Contribute to overall account strategy, ensuring technical solutions align with business priorities. Drive productivity and cost optimizations.

Your Profile:

Essential skills/experience/knowledge:

• Experience in architecting and solutioning in Gen AI, Agentic AI, classic ML, and automation space.
• Good understanding of Prompt engineering, RAG pipelines, Supervised/unsupervised Model tuning, MLOps/LLMOps pipelines, and AI observability.
• Experience in Enterprise-grade RAG-based solutions with LLMs (OpenAI, Hugging Face, LLaMA, etc.) and vector databases (Pinecone, Weaviate, FAISS, etc.).
• Ability to design enterprise-level AI/Gen AI platform/solutions with the client’s existing enterprise stack.
• Hands-on mastery of core GenAI frameworks (e.g., LangChain, LlamaIndex) and practical experience with Agentic AI frameworks and concepts (e.g., AutoGen, CrewAI, LangGraph).
• Strong working knowledge and practical deployment experience on at least one major cloud platform (AWS, Azure, GCP), including their AI/ML services.
• Strong foundation in software engineering principles for building scalable, maintainable, and production-ready AI systems.
• Proficiency in Python with AI/ML frameworks (PyTorch, TensorFlow).
• Experience with MLOps/LLMOps tools (MLflow, Kubeflow, Docker, Kubernetes).
• Deep proficiency in Python and extensive experience with relevant AI/ML/NLP libraries (e.g., Hugging Face Transformers, spaCy, NLTK).
• Proven experience developing applications leveraging state-of-the-art LLMs (e.g., GPT series, Llama series, Mistral, Claude) including prompt engineering, fine-tuning, and evaluation.
• Strong grasp of advanced techniques such as complex task decomposition for agents, reasoning engines, knowledge graphs, autonomous agent design, and evaluation methodologies for complex AI systems.
• Strong articulation, stakeholder management, and consulting skills. Experience working on client proposals RFI/RFP/Orals stages.
• Experience leading a team of AI/software engineers.

Rewards & Benefits:

TCS is consistently voted a Top Employer in the UK and globally. Our competitive salary packages feature pension, health care, life assurance, laptop, phone, access to extensive training resources and discounts within the larger Tata network.

We offer health & wellness initiatives and sports events; we are the proud sponsor of the London Marathon.

We are Data Services, our mission is to unlock the value of data by delivering high-quality, reliable, and secure data services that are accessible, understandable, and actionable. We continuously evolve our offerings, leveraging modern cloud-based technologies, and fostering strong partnerships to help our colleagues in the Bank navigate the complexities of a data-driven world and achieve their strategic objectives.

Active SC Clearance

Job Description:

The world of data in Central Banking is evolving rapidly. With the rise of detailed data collection in financial regulation and the swift advancements in cloud-native data technologies, the demand for visionary data engineers is growing. Were seeking a senior Data Engineer to join our Data Engineering team and play a pivotal role in shaping the Banks strategic cloud-first data platform.

As a senior member of the team, you will play a key role in designing and delivering robust, scalable data solutions that support the Banks core responsibilities around monetary policy, financial stability, and regulatory supervision. Youll contribute to technical design decisions, mentor engineers, and collaborate across teams to ensure our data infrastructure continues to evolve and meet future demands.

Role Responsibilities

• Lead the design, development, and deployment of scalable, secure, and cost-effective distributed data solutions using Azure services (e.g., Azure Databricks, Azure Data Lake Storage, Azure Data Factory).
• Architect and implement advanced data pipelines using Databricks, Delta Lake, Python and Spark, ensuring performance, reliability, and maintainability across cloud and on-prem environments.
• Champion data quality, governance, and observability, ensuring data is accurate, timely, and fit-for-purpose for analytics, BI, and operational use cases.
• Drive the modernization of legacy systems, leading the migration of data infrastructure to Azure with minimal disruption and long-term scalability.
• Act as a technical authority on Azure-native data engineering, guiding best practices and setting standards across the team.
• Mentor and coach junior and mid-level engineers, fostering a culture of continuous learning, innovation, and technical excellence.
• Collaborate with architects, analysts, and stake holders to align data engineering efforts with strategic business goals and enterprise data strategy.
• Evaluate and introduce emerging technologies, tools, and methodologies to enhance the Banks data capabilities.
• Own the end-to-end delivery of complex data solutions, from requirements gathering to production deployment and support.
• Contribute to the development of reusable frameworks, templates, and patterns to accelerate delivery and ensure consistency across projects.

Minimum Criteria

• Extensive experience with Azure services including Azure Databricks, Azure Data Lake Storage, and Azure Data Factory.
• Advanced proficiency in SQL, Python, and Spark (PySpark), with a strong focus on performance optimization and distributed processing.
• Proven experience in CI/CD practices using industry-standard tools (e.g., GitHub Actions, Azure DevOps).
• Strong understanding of data architecture principles and cloud-native design patterns.

Essential Criteria

• Demonstrated ability to lead technical delivery, mentor engineering teams and collaborate with stakeholders to ensure alignment between data solutions and business strategy.
• Proficiency in Linux/Unix environments and shell scripting.
• Deep understanding of source control, testing strategies, and agile development practices.
• Self-motivated with a strategic mindset and a passion for driving innovation in data engineering.

Desirable Criteria

• Experience delivering data pipelines on Hortonworks/Cloudera on-prem and leading cloud migration initiatives.
• Familiarity with: Apache Airflow
• Data modelling and metadata management
• Experience influencing enterprise data strategy and contributing to architectural governance.

Changed this now. I was confusing this with PDE role as I am working on that in parallel. Hope this makes sense now.

data solutions rather than architectures?

Should add Python here as a key tech we use

Have mentioned Python in ‘Minimum Criteria’ section below, but will add here too

this could be added to Essential Criteria ?

stakeholder and project management ?

Have updated #1 in essential criteria below. But I have now used the previous version to create requisition in OBS. Will see if it can be changed.

What is the difference between “minimum” and “essential” criteria. Both imply that they are mandatory and so could be one list?

This is a bit confusing. I used to have just one, but this is the standard format of JD that the Bank wants us to follow. Here is the difference:

Min Criteria:

This must list the minimum technical skills/experience/qualifications required to do the job and should be measurable/scoreable. The screening questions you select must link to these, in order to allow candidates to best demonstrate their suitability for the role.

Essential:

This lists other important technical skills/experience/qualifications, and also more behavioural competencies. These are ones that are better assessed at interview rather than on screening questions on the application form

Ok, I think we could go back and ask HR about this as it does seem confusing and to me doesn’t give a good impression of the Bank to applicants at it looks like 2 lists for the same thing.

I had checked this earlier, but seems they want us to follow this format. When I advertised last time, I just mentioned Minimum Criteria, but they said it has to be split into Minimum and Essential.

Don’t think we need to mention Atlas or Cloudera Manager as we hardly ever use those. Airflow could be useful so would leave that in.

London | Hybrid working | £100k to £105k

A growing online retailer is looking for someone to help modernise a cloud platform that has evolved over the past decade.

The business has built a successful product and strong engineering team, but now wants to take the platform into its next phase. They are looking for a DevOps leader who still enjoys being hands on with the technology while helping a small team level up how they work.

This role sits right in the middle of that transformation.

You will split your time between working with the platform and helping shape how the DevOps team operates. It is roughly a 50 50 balance between hands on engineering and leadership.

The environment is already running in AWS with Kubernetes and Python, alongside MariaDB, MySQL and Postgres. The opportunity is to modernise the platform, improve automation and help shape the DevOps culture as the business continues to grow.

This role would suit someone who has recently stepped into leadership but still enjoys solving technical problems and improving how platforms run in production.

Hybrid working with two days per week in the London office.

If you enjoy improving platforms rather than just maintaining them, feel free to message me and I would be happy to share more details.

RSG Plc is acting as an Employment Agency in relation to this vacancy.

Your new company

An established and fast-growing technology organisation is on a mission to transform digital connectivity across the UK. With a focus on building and operating high-speed fibre networks, the business is committed to delivering world-class broadband services to communities and supporting a data-driven future. You’ll be joining a forward-thinking environment that values innovation, collaboration, and continuous improvement.

Your new role

As a Senior Data Engineer, you will play a pivotal role in shaping and enhancing the organisation’s enterprise data platform. Working within a specialist Data Analytics & AI team, you’ll be responsible for designing, building, and maintaining scalable data pipelines and models within Snowflake to support analytics, reporting, and data-led decision-making across the business.You will translate data architecture strategies into high-quality technical solutions, optimise performance and cost, and ensure the data platform is reliable, secure, and well-structured. This includes developing ELT/ETL pipelines using tools such as dbt and Argo Workflows, implementing data quality and governance practices, and leveraging advanced Snowflake features to drive automation and efficiency.Collaboration is key-you’ll work closely with analysts, data consumers, and business stakeholders, enabling them through well-designed data models and providing technical support where needed. You’ll also contribute to monitoring, CI/CD processes, and ongoing improvements to engineering standards across the team.

What you’ll need to succeed

• Proven experience delivering cloud-based data engineering solutions, ideally centred around Snowflake
• Strong skills in SQL, Python, and dbt for data modelling and transformation
• Experience with Snowflake RBAC and performance optimisation
• Familiarity with ingestion/replication tools such as Airbyte, Fivetran, Hevo, or similar
• Understanding of cloud technologies (AWS preferred)
• Knowledge of data modelling, governance principles, and best-practice engineering standards
• Experience supporting BI/reporting tools such as Power BI
• Solid grounding in version-controlled development and CI/CD practices (git)

Desirable:

• Exposure to enterprise systems like Salesforce, BSS/OSS, telephony, or call-centre data
• Experience in data platform migrations, data validation, and quality assurance
• Background in enabling business teams through training, documentation, or adoption support
• Familiarity with Terraform or Infrastructure-as-Code
• A mindset for continuous learning and staying up to date with modern data stack tooling

What you need to do now

If you’re interested in this role, click ‘apply now’ to forward an up-to-date copy of your CV, or call us now.
If this job isn’t quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career.

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Principal AI Platform Engineer London This is a standout opportunity to join a digital-first insurer that is scaling an entirely new AI function. You will be the first permanent hire into a growing division, giving you direct ownership of production AI systems, end-to-end agentic automation, and the technical direction of a brand-new platform. The Company They are a tech-led insurer transforming how complex home insurance is delivered. Their vision is to become the UK's first fully AI-driven insurer, supported by modern cloud infrastructure and a collaborative product-focused culture. The Role You will play a lead role in shaping, building, and scaling their AI platform, working closely with an AI Product Manager and senior leadership. Your work will focus on making AI production-ready, highly scalable, and reliable across the business. Key responsibilities include: \* Designing and delivering an AI platform that supports large-scale agentic automation and end-to-end claims journeys \* Building robust RAG pipelines, LLM-based systems, and deployment frameworks \* Developing AI agents for claims handling, internal tooling, and customer-facing chat solutions \* Evolving an internal AI assistant and expanding its capabilities across teams \* Working hands-on across cloud infrastructure, observability, evaluation, and optimisation \* Collaborating with engineering, product, and operations teams to take roadmap concepts into production Your Skills and Experience \* Strong commercial experience in AI engineering or software engineering with a focus on LLMs and production AI systems \* Expertise in deploying AI models and agents at scale, including RAG, embeddings, and LLM tooling \* Hands-on cloud engineering experience, ideally in GCP and its AI ecosystem \* Strong Python engineering ability and experience building production-grade services \* Experience working with vector search, data ingestion, observability, and experimentation frameworks \* A STEM background or equivalent technical capability What They Offer \* Salary up to 90,000 plus benefits \* Hybrid working with 1-2 days per week in their Sheffield office \* The chance to join as the first hire in a scaling AI division with a 10-role roadmap \* Significant autonomy, influence, and end-to-end ownership of AI platform design \* The opportunity to build cutting-edge agentic systems and production AI from the ground up How to Apply If you are excited by the opportunity, please apply with your CV.

PRICING MANAGER- INSURANCE

£70-80K DEPENDING ON EXPERIENCE

LONDON BASED

This is an exciting opportunity to join a growing business in the insurance space where you can make a real impact on the business. You’d be able to work across a range of pricing analytics projects with the rare opportunity to really take ownership of your work and make an impact.

THE COMPANY

Our client are an exciting insurance business that are growing well. They’ve gone from strength to strength in recent years and this role is part of their increased presence in the market. You’d be able to work in small team within this hands-on, analytical role whilst also taking on management of a couple of analysts.

THE ROLE

• End-to-end development of some of their first GBM models across the book
• Develop and implement pricing strategies to enhance business performance
• Analyse large sets of customer data to drive insight and commercial performance across their pricing quotes
• Share insight with the wider team and helping to improve profitability across the business
• Manage a team of 2, helping with their development and progression

YOUR SKILLS AND EXPERIENCE:

• Essential to have experience within UK general insurance
• Essential to have had experience building GLM pricing models, ideally using ML techniques
• Exposure to both retail and risk pricing
• Good knowledge of programming software such as SAS, SQL, Python or R
• Experience managing junior analysts OR proven ability in coaching and leadership

SALARY AND BENEFITS

• Base salary £70-80,000 depending on experience
• Bonus
• Contributory pension scheme
• Work abroad scheme
• Private medical
• 25 days holiday

HOW TO APPLY

Please register your interest by sending your CV to Rosie Walsh through the ‘Apply’ link

Role: Lead QA Engineer
Location: Leeds, hybrid
Package: 65,000 + Benefits

We’re working with a growing business looking for aLead QA Engineer to join their Leeds team. You’ll lead a team of testers while remaining actively involved in testing, automation and quality strategy across a range of digital and enterprise projects.

Responsibilities

• Lead and mentor a testing team
• Participate in hands-on testing
• Develop and implement test strategies
• Use automation tools like Python, Selenium & Playwright
• Collaborate with stakeholders across projects

Requirements

• Strong automation and manual testing (Python, Selenium or Playwright)
• Experience or the desire to lead & mentor a team
• Experience with test strategy, frameworks and planning
• Experience with manual and automated testing

If you’re looking for a collaborative and expanding team with strong progression routes, this could be the ideal role for you.

Click APPLY to be considered for interviews.

Software Engineer with key skills in either Python, Go or Typescript and experience operating data systems at scale is sought on a remote basis by a market leading Fintech.

With recent investment this Software Engineer will be joining a dynamic, autonomous team of six tasked with scaling new product functionality and greenfield solutions. As such proven experience working in a product led, fast paced start or scale up would be hugely beneficial.

This role would suit an experienced software engineer who relishes using the latest technology to build greenfield solutions that quickly solve business problems with the ability to understand and translate business requirements into technical solutions.

This Software engineer should have most of the following key skills

• Strong commercial software engineering experience - Go, Python, Typescript, node etc
• Solid rational database exposure - MySQL, Postgres
• A well rounded skill set in streaming systems - Kafa, Kinesis etc
• Strong AWS deployment exposure
• Understanding of column-oriented databases - BigQuery, ClickHouse etc
• A product focussed, business first approach to engineering
• Experience working in a fast paced product lead environment
• Experience operating data systems at scale
• Any experience working in a FinTech or regulated industry
• Cloud native architecture exposure - AWS massively preferred
• Solid pipeline automation skills (CI/CD)

In return this Software Engineer will receive:

• Base salary of up to £100,000
• Long term remote working (one day a month on site max)
• Generous equity stake with a clear business exit strategy
• Bonus scheme
• Private healthcare
• Flexible working hours
• Clear progression and personal development opportunities
• 25 days annual leave plus bank holidays
• Private pension
• Regular salary reviews

So if you are a software engineer who gets excited about greenfield development and playing a key role in building high traffic, enterprise grade applications for household names then please apply now to be considered.

Software Engineer
Up to £100,000
Product, FinTech, Kafka, data systems, AWS, Clickhouse, CI/CD, cloud native
Python, JavaScript, node, express, react, aws, serverless, cloud, cloud native, Typescript

Onsite - Cardiff
Up to 28,000 per annum

CPS Group are partnering with a Global Data Migration Consultancy that works with many of the world’s largest organisations to extract, migrate, restore, and secure legacy data.

We’re looking for a Junior Network/Hardware Engineer to join the Cardiff-based team. You’ll be working fully onsite with physical hardware, legacy storage systems, connectivity and networking

This would suit someone who wants a hands-on role, has excellent problem solving skills, thrives on finding solutions to tech challenges and want to begin a career in Data Migration with a leading Consultancy. setups, to extracting and restoring critical information for clients.

What You’ll Be Doing

Working on data extraction and restoration projects for a variety of clients
Setting up and configuring restoration equipment
Handling legacy hardware, storage devices, and connectivity challenges
Troubleshooting hardware and network configurations
Writing up documentation and restoration procedures
Collaborating closely with the Data Services Manager to improve restoration processes and tools

Experience within any of the below an advantage

HND or Degree in Computing (or equivalent experience)
Hands-on experience with Windows and Linux systems a benefit
Ability to install, configure, and troubleshoot operating systems, programs, and network services
Comfortable working with physical hardware, RAID systems, and network cabling
Basic scripting knowledge (Python, Bash, VB, or similar)
Good understanding of networking, connectivity, and data migration fundamentals

Bonus points if you have:

Experience configuring or using backup-to-tape software (TSM, BackupExec, Arcserve, etc.)
Knowledge of SQL querying, tape libraries, or data storage systems

If you’re technically minded, curious, and love figuring out how things work - this is a fantastic opportunity to build a unique and rewarding career in data restoration and recovery.

Contact: Zach Bennett - CPS Group

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An exciting opportunity has arisen for a Regulatory Reporting Specialist to join finance and regulatory reporting team within a leading foreign bank in London, providing a wide range of services to both private and corporate clients across the globe.

As a Regulatory Reporting Specialist, you will be will be responsible for producing accurate, timely, and compliant regulatory submissions, ensuring adherence to all relevant prudential, statistical, and supervisory frameworks.

This is a office based fixed term contract role (6-10 month) offering salary range of £80,000 - £90,000.

You will be responsible for:

Regulatory Reporting

• Assist in the preparation and validation of COREP returns, including own Funds, Leverage Ratio, Large Exposure and Credit Risk templates.
• Support the production of Liquidity reports such as LCR, NSFR, ALMM, PRA110
• Support the production of Statistical and FSA returns such as BT, Els, SL, MLAR and FSA017.
• Assist in preparation and submission of FINREP return (F1 to F12).
• Ensure submissions are complete, accurate, and compliant with the latest regulatory standards.
• Maintain robust documentation, working papers, and audit trails for all regulatory outputs.

Data Management & Controls

• Ensure the integrity, consistency, and accuracy of data feeding into regulatory reports.
• Perform variance analysis, trend assessment, and data quality checks.
• Support enhancements to the regulatory reporting control framework and governance processes.

Regulatory Interpretation

• Stay up to date with changes to regulatory rules and frameworks (CRR, Basel, PRA Rulebook, Statistical Reporting guidance, IFRS where relevant).
• Assess the impact of new or amended regulations on reporting requirements.
• Provide technical advice to internal stakeholders and support in implementing regulatory changes.

Stakeholder Engagement

• Collaborate closely with Finance, Risk, Treasury, Product teams, and external auditors.
• Respond to regulatory queries and information requests in a timely and accurate manner.
• Support internal and external audits relating to regulatory reporting processes.
• Process Improvement
• Identify opportunities to enhance and streamline reporting processes.
• Contribute to system upgrades, data warehouse enhancements, or reporting transformation initiatives.
• Support implementation of new reporting tools or regulatory technology solutions.

What we are looking for:

Essential:

• Experience in regulatory reporting within banking, investment firms, or financial services.
• Strong understanding of PRA, FCA, and Bank of England reporting frameworks.
• Excellent analytical skills with strong attention to detail.
• Skilled in reporting tools, excel, and large data sets.

Desirable:

• Experience with RegTech solutions(e.g., AxiomSL, WoltersKluwer OneSumX, Vermeg, Moody s).
• Familiarity with IFRS, financial accounting, or capital/liquidity risk management.
• Coding or automation skills(SQL, Python, VBA).

Key Attributes:

• Strong communication skills, able to summarise complex regulatory concepts clearly.
• Proactive, self-motivated, and able to work under pressure to tight deadlines.
• Highly organised, with strong ownership and accountability.
• Curious mindset with commitment to continuous improvement.

Apply now for this fantastic Regulatory Reporting Specialist opportunity to take the next step in your career with a well-established financial institution.

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similar titles: Regulatory Reporting Specialist, Regulatory Reporting Officer, Regulatory Reporting Analyst, Prudential Reporting Analyst