Role DetailsRole / Job Title:Informatica MDM EngineerWork Location:250 Bishopsgate, London, UKMode of Working Hybrid / Office Based:HybridIf Hybrid, how many days are required in office?2 daysThe RoleWe are seeking an Informatica MDM Engineer with strong on-prem MDM and IDMC experience to lead our migration to the IDMC cloud. The role requires solid expertise in MDM architecture, data integration, and cloud migration.Your Responsibilities (Up to 10, Avoid repetition) Design, develop, and implement Informatica MDM solutions on-premises and on IDMC Cloud platforms.
Lead the migration process of MDM systems from on-premises infrastructure to Informatica IDMC Cloud.
Collaborate with data architects, business analysts, and IT teams to define migration scope, strategy, and timelines.
Perform data profiling, data cleansing, and data quality checks to ensure integrity during migration.
Develop and maintain MDM workflows, match/merge rules, survivorship rules, and business rules.
Configure and customize Informatica MDM and IDMC Cloud components to meet business requirements.
Troubleshoot issues related to MDM data models, hub servers, IDMC services, and integration points.
Assist in performance tuning and optimization of MDM and IDMC processes.
Document migration processes, architecture changes, and provide training/support to internal teams.
Stay updated with the latest Informatica IDMC Cloud features and MDM best practices.Your ProfileEssential Skills / Knowledge / Experience (Up to 10, Avoid repetition) Bachelor’s degree in Computer Science, Information Technology, or a related field.
7+ yrs of proven experience with Informatica MDM on-premises implementations.
Hands-on experience with Informatica Intelligent Data Management Cloud (IDMC), including Cloud MDM modules.
Strong understanding of MDM concepts: data modelling, survivorship, match and merge strategies.
Experience in migrating data and applications from on-premises to cloud environments.
Proficient in ETL processes, data integration, and data governance frameworks.
Solid knowledge of SQL and relational databases.
Familiarity with cloud platforms and services (AWS, Azure, or GCP) is an advantage.
Excellent analytical, problem-solving, and communication skills.
Ability to work collaboratively in a cross-functional team environment.Desirable Skills / Knowledge / Experience (As applicable) Informatica MDM and IDMC certifications
Experience with Agile/Scrum methodologies
Knowledge of data privacy and compliance standards (GDPR, HIPAA, etc.)
Exposure to other Informatica products like PowerCenter, Data Quality, or EDC

Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone’s chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive.

Join Our Client as an AI Workspace Engineer!

Are you ready to embark on an exciting journey at the forefront of innovation in the banking industry? Our client, a leading financial services organization, is seeking a passionate and skilled AI Workspace Engineer to join their dynamic Innovation Team for a 6-month temporary contract. This is a unique opportunity to shape the future of enterprise AI and help redefine how their teams work!

Role: AI Workplace Engineer

Duration: 6 Months

Location: London (Hybrid, 3 days a week in office)

Rate: 745 per day (umbrella)

About the Role:

As an AI Workspace Engineer, you will play a pivotal role in leading the technical delivery, governance, and optimization of enterprise AI productivity platforms. You will focus on leveraging cutting-edge technologies such as Microsoft 365 Copilot and Google Workspace Gemini, among other AI tools, to enhance collaboration and automate processes.

Key Responsibilities:

• Lead Integration:Spearhead the technical enablement of Microsoft 365 Copilot, Google Workspace Gemini, and NotebookLM.
• Build AI Solutions:Create and embed AI-powered solutions using platform APIs and automation tools.
• Subject Matter Expert:Act as the go-to expert for enterprise AI workspace technologies, supporting various teams across the organization.
• Integrate Capabilities:Connect AI features with enterprise systems to enable seamless workflows.
• Develop Resources:Create reusable prompts and templates to standardize AI solution delivery.
• Ensure Compliance:Collaborate with security and risk teams to maintain secure and compliant operations of AI tools.
• Lifecycle Management:Oversee the deployment, monitoring, and optimization of AI workspace solutions.
• Support Adoption:Provide technical guidance and enablement to teams and users for a smooth transition.
• Evaluate Enhancements:Stay updated on new features from Microsoft and Google to recommend strategic improvements.

What You Need to Succeed:

Essential Qualifications:

• Hands-on experience with Microsoft 365, especially Copilot and Graph API.
• Proficiency in Google Workspace, including Gemini and NotebookLM.
• Proven ability to integrate AI capabilities into business applications and workflows.
• Understanding of enterprise identity, data governance, and security controls.

Technical Skills:

• Knowledge of Microsoft Graph API, Workspace APIs, and cloud AI services.
• Ability to build extensions using Power Automate and Apps Script.
• Familiarity with Responsible AI practices and enterprise architecture basics.

Mindset and Behaviours:

• A curious and self-driven individual passionate about emerging AI technologies.
• Strong problem-solver who enjoys learning through experimentation.
• Excellent communicator capable of simplifying technical concepts for non-technical stakeholders.
• A collaborative team player eager to work across various domains.

Desirable Certifications:

• Microsoft 365 Enterprise Administrator Expert
• Microsoft Azure Solutions Architect Expert
• Google Professional Collaboration Engineer or relevant Google Cloud certifications

Why Join Us?

This is your chance to make a significant impact in an innovative environment where AI capabilities are rapidly evolving. If you’re excited about utilizing your expertise to drive change and enhance productivity, we want to hear from you!

Candidates will ideally show evidence of the above in their CV in order to be considered.

Please be advised if you haven’t heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you accordingly. Pontoon is an employment consultancy and operates as an equal opportunities employer.

We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention.

Active SC Clearance Essential

Our client, an innovative UK technology company is building a next-generation AI platform fordefence and health applications. Their systems operate in highly regulated, mission-critical environments where reliability, security, and performance truly matter.

Were looking for aLead Software Engineerto take technical ownership of key platform components, guide architectural decisions, and mentor engineers as we scale. This is a hands-on leadership role youll be writing code, shaping systems, and directly influencing the future of the platform.

This is a genuineground-floor opportunityto shape both the technology and the engineering culture within a growing, mission-driven business.

What Youll Be Working On

• Leading thedesign, development, and evolutionof intelligent, distributed systems
• Architecting and buildingAI-driven capabilities, including:
• Large Language Models (LLMs)
• Retrieval-Augmented Generation (RAG)
• AI agents and orchestration workflows
• Designing and maintainingbackend services and APIs(primarily Python, FastAPI / Flask)
• Building and scalingdata pipelinesand search systems using:
• ElasticSearch, Weaviate, Pinecone, and other vector databases
• Engineeringsecure, containerised architecturesusing Docker and Kubernetes
• Ensuringhigh availability, fault tolerance, and performancefor mission-critical workloads
• Providingtechnical leadership and mentorshipto other engineers
• Contributing to technical strategy, tooling choices, and engineering best practices

What Were Looking For

Essential

• ActiveSC clearanceandBritish nationality (no dual nationality)
• Degree in Computer Science, AI, or a related field or equivalent industry experience
• Strong background inPythonor similar languages
• Significant experience withbackend development, microservices, and distributed systems
• Hands-on experience withAI/ML systems, including LLMs, RAG, or vector databases
• Solid understanding ofcontainerisation and orchestration(Docker / Kubernetes)
• Experience deliveringsecure, on-premise or regulated systems
• Proven ability tolead technically, mentor others, and take ownership of complex problems

Desirable

• Experience in defence, government, healthcare, or other regulated domains
• Familiarity with DevOps practices, CI/CD pipelines, and infrastructure as code
• Exposure to data engineering, ETL pipelines, or high-volume data processing
• Experience working inSME or start-up environments, comfortable wearing multiple hats

Salary: £90,000 - £100,000 (DOE) + Bonus + Benefits

Hybrid working 1 day per week onsite in either Winchester/Basingstoke

Product Engineer with strong Typescript experience ideally gained in a high growth scale up environment is sought by a high growth B2B generative AI scale up based in central London.

Working at the bleeding edge of generative AI this Product Engineer will play a key role in greenfield innovation utilising the latest technology to design and implement new solutions within the existing platform.

This role would suit an Engineer with a solid product engineering background and a good understanding of system architecture who is looking to join a multi award winning scale up at the forefront of market innovation.

In return this Product Engineer can expect excellent autonomy with a clear cut progression pathway within this innovative, autonomous culture.

This Product Engineer near London should have most of the following key skills:

• Strong Typescript development experience
• Strong end to end product development experience
• Strong general cloud skills - Azure, AWS, GCP
• Any experience working in a start or scale up environment would be a plus
• A delivery focused, customer outcome focused approach to engineering
• Comfortable engaging with the wider business to drive product success
• An interest in AI/ automation

This Product Engineer near London will receive:

• Starting salary of up £95,000 base salary
• Bonus scheme
• Long term hybrid working (2 days a week on-site in central London)
• Flexible working hours
• Excellent progression opportunities
• Personal development scheme
• 25 days holiday
• Private pension
• Fast paced, autonomous culture with extensive growth potential
• Regular remuneration reviews

So if you are a Product Engineer who loves the idea of joining this product led, high growth AI scale up an exciting phase of their development please apply now to be considered and for more info.
London (hybrid)
Node.js AWS, next.js, React, Typescript, Azure

Lead AI Engineer | GenAI & Private Markets

Location: London (Hybrid)

Salary: Competitive + Bonus

The Role

Join a high-growth fintech innovator transforming Private Markets and Wealth Management. We are seeking a Lead AI Engineer to architect and scale agentic AI solutions. You will lead the integration of LLMs into complex trading and fund administration systems, moving beyond prototypes into production-grade financial tools.

Key Requirements

• Experience: 8+ years in Software Engineering (Python/TypeScript) with 3+ years in a leadership role.
• Tech Stack: Extensive hands-on Azure experience and deep practical knowledge of LLMs (Claude, OpenAI, Gemini).
• Innovation: Practical understanding of MCP (Model Context Protocol) and tool-calling for LLMs.
• Domain: Proven experience with financial data. Familiarity with trading platforms or fund admin is a major plus.
• Leadership: Ability to mentor engineers and drive AI strategy with senior stakeholders.

Why Apply?

• Build ‘Agentic’ workflows in a high-stakes financial environment.
• Work with a world-class team at the intersection of Fintech and Private Equity.
• Modern tech stack: Azure AI Studio, Foundry, and the latest LLM orchestration frameworks.

Randstad Technologies Ltd is a leading specialist recruitment business for the IT & Engineering industries. Please note that due to a high level of applications, we can only respond to applicants whose skills & qualifications are suitable for this position. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010. For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business.

Are you a Data Engineer passionate about buildingscalable, cloud-first data platformsthat power business insights and innovation? Our client is seeking an experienced engineer to design robust, secure, and future-ready data solutions that support analytics, AI, and strategic decision-making.

What Youll Do:

• Build, test, and maintainETL/ELT pipelinesfor structured and unstructured data.
• Design and optimisedata warehouses, lakes, and cloud-native platforms.
• Implementmonitoring, security, and compliance frameworksin line with regulations (e.g., GDPR, financial standards).
• Deliverhigh-quality datasetsto analysts, data scientists, and business stakeholders.
• Work with modern technologies, includingcloud platforms, orchestration tools, and streaming frameworks.

What Were Looking For:

• StrongSQL & Pythonskills.
• Hands-on experience withETL/ELT tools(e.g., Matillion, Talend, FiveTran, Azure Data Factory).
• Experience designing and managingcloud data platforms(Snowflake essential; AWS/Azure/GCP desirable).
• Soliddata modelling knowledgeand performance optimisation skills.
• Awareness ofdata governance, security, and regulatory compliance.
• Ability to work closely with technical and business teams to deliver impactful solutions.

Nice-to-Haves:

• Orchestration tools (Airflow, dbt, Prefect) or streaming frameworks (Kafka, Kinesis).
• CI/CD experience and DevOps practices for data workflows.
• Exposure to data visualisation platforms (PowerBI, Tableau, MicroStrategy).
• Experience in financial services or other highly regulated industries.

Senior Golang Security Engineer - GenAI

A global financial services organisation is building a flagship Generative AI engineering team, responsible for designing and securing large-scale AI products and platforms used across the business.

This is a rare opportunity to join a cutting-edge, product-led GenAI team that operates independently from traditional corporate bureaucracy. The team is built in the style of a modern big-tech engineering organisation, with a strong focus on autonomy, engineering quality, and real-world impact.

The Role

We’re looking for a Senior Golang Security Engineer (SVP level) with a strong cyber security background and an offensive, hacker mindset.

This role is fundamentally about breaking things to make them better:

• Hacking real GenAI products and platforms
• Finding weaknesses, exploiting them, and understanding true risk
• Designing and implementing practical, production-ready security improvements

This is a hands-on coding role for builders-not theorists.

What You’ll Be Doing

• Actively attack and stress-test GenAI applications and platforms to identify vulnerabilities
• Build and secure production-grade GenAI systems, primarily using Golang
• Identify and mitigate LLM-specific risks, including prompt injection, misuse, and emerging AI threat vectors
• Develop security tooling, automation, and guardrails that integrate directly into engineering workflows
• Partner closely with engineers to embed security without slowing delivery
• Lead by example through coding, pairing, and setting high engineering standards

What We’re Looking For

We’re seeking someone who has secured real-world products and isn’t afraid to get deep into the code.

You’ll likely have:

• Strong Golang engineering experience in production environments
• A background in cyber security, product security, or offensive security
• Hands-on experience finding, exploiting, and fixing vulnerabilities
• A builder’s mindset - you code as confidently as you hack
• Experience working in modern, product-driven engineering teams (e.g. big tech, high-growth tech companies, or similar)

Nice to have (but not essential):

• Experience with GenAI / LLM-based systems
• Cloud-native and Kubernetes security exposure
• Security tooling, automation, or red team experience

Banking or financial services experience is not required.

Seniority & Impact

This is a senior, SVP-level role with real influence:

• You’ll help define security standards and best practices for GenAI across the organisation
• Act as a technical authority for secure AI engineering
• Opportunities to engage with senior leadership and influence strategy (if desired)
• No mandatory people management - leadership through expertise is key

Working Model & Benefits

• Remote-first (UK-based)
• Office attendance once a month
• Competitive senior-level compensation
• Annual performance-related bonus
• 27 days annual leave (plus bank holidays)
• Private medical cover, life insurance, pension, paid parental leave

If you think you have the necessary skills and experience, then please apply now!

McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.

AI Platform Engineer London Excellent Salary +Benefits

Join an award-winning, internationally recognised B2B consultancy as an AI Platform Engineer, owning the cloud-native platform that underpins conversational AI and generative AI products at scale.

Sitting at the core of AI delivery, you will design, build, and operate the runtime, infrastructure, and operational layers supporting RAG pipelines, LLM orchestration, vector search, and evaluation workflows across AWS and Databricks. Working closely with senior AI engineers and product teams, you’ll ensure AI systems are scalable, observable, secure, and cost-efficient, turning experimental AI into reliable, production-grade capabilities. With further scope of responsibilities detailed below:

• Own and evolve the AI platform powering conversational assistants and generative AI products.
• Build, operate, and optimise RAG and LLM-backed services, improving latency, reliability, and cost.
• Design and run cloud-native AI services across AWS and Databricks, including ingestion and embedding pipelines.
• Scale and operate vector search infrastructure (Weaviate, OpenSearch, Algolia, AWS Bedrock Knowledge Bases).
• Implement strong observability, CI/CD, security, and governance across AI workloads.
• Enable future architectures such as multi-model orchestration and agentic workflows.

Required Skills & Experience

• Strong experience designing and operating cloud-native platforms on AWS (Lambda, API Gateway, DynamoDB, S3, CloudWatch).
• Hands-on experience with Databricks and large-scale data or embedding pipelines.
• Proven experience building and operating production AI systems, including RAG pipelines, LLM-backed services, and vector search (Weaviate, OpenSearch, Algolia).
• Proficiency in Python, with experience deploying containerised services on Kubernetes using Terraform.
• Solid understanding of distributed systems, cloud architecture, and API design, with a focus on scalability and reliability.
• Demonstrable ownership of observability, performance, cost efficiency, and operational robustness in production environments.

Why Join?

You’ll own the foundational AI platform behind a growing suite of generative AI products, working with senior AI leaders on systems used by real customers at scale. This role offers deep technical ownership, long-term impact, and an excellent compensation package within a market-leading organisation.

INDAMS

Portfolio Payroll Ltd is acting as an Employment Agency in relation to this vacancy.

Mainframe Developer With Cics Webservices Job Description Role Overview

Role / Job Title: Mainframe Developer with CICS Webservices

Work Location: London
Mode of Working: Hybrid
Office Requirement (if hybrid): 2 3 days a week

Key Skills Required

Mainframes
CICS Webservices

Required Skills

Experience working in ZOS Connect EE and DB2 REST, with extensive knowledge in CICS webservices.
Development experience using FileAid, Xpeditor, IBM Explorer for z/OS, and Visual Studio.
Proficient with SOAP, WSDL, and JSON, with a comprehensive understanding of SOA and RESTful APIs.
Experience working with code repositories, bug tracking tools, and wikis. Tools include GitLab, Endevor, JIRA, and Confluence.
Knowledge of different security integration patterns such as basic authentication, client authentication (mTLS), and OAuth (JWT).
Experience with DevOps and Agile methodologies and associated toolsets and practices, including CI/CD and Jenkins.

Desirable Skills / Knowledge / Experience Option 1: Java-Based Skills

Java skill set.
Strong foundation in Java, including OOP and functional programming (Java 8+).
Familiarity with Spring Boot annotations, configuration, and how it simplifies Spring application setup and deployment.
RESTful API development experience.

Option 2: Integration & Middleware Skills

Hands-on experience using DataPower appliances.
Development experience using XSLT, Gateway Script, and XPath.

Lead MLOps Engineer - London - Permanent

?? London, UK
(If you like the sound of this role and want to relocate - the Client is willing to help facilitate this move!)

This is a high-impact role within a fast-growing AI and robotics organisation focused on building advanced, scalable intelligent systems for real-world industrial applications. The position owns the machine learning infrastructure and MLOps foundations as products, platforms, and teams scale.

You will play a key role in transforming machine learning prototypes into reliable production systems, defining pragmatic engineering standards, and enabling fast, safe delivery of ML-powered capabilities. The role combines hands-on engineering, architectural ownership, and close collaboration with engineering and product teams.

Key Responsibilities

• Own and scale the organisation’s ML infrastructure and MLOps foundations
• Design pragmatic, production-ready system architectures that balance speed, reliability, and cost
• Build and maintain CI/CD pipelines for ML workflows and application delivery
• Productionise ML models including training, evaluation, deployment, monitoring, and rollback strategies
• Ensure reliability, observability, security, and performance across ML systems
• Automate infrastructure provisioning, deployments, and environment management using cloud-native tooling
• Partner closely with ML engineers, software engineers, and product teams to deliver ML features end-to-end
• Act as a technical leader through design reviews, mentorship, and by establishing engineering best practices

Required Experience & Skills

• Staff or lead-level experience in MLOps, DevOps, or Infrastructure Engineering, ideally within high-growth or startup environments
• Strong Python skills with hands-on experience using modern ML frameworks (e.g., PyTorch, TensorFlow, or similar)
• Experience working with major cloud platforms (AWS, GCP, or Azure)
• Proven production experience with Docker and Kubernetes
• Strong understanding of CI/CD systems (e.g., GitHub Actions, GitLab CI, ArgoCD)
• Experience with Infrastructure as Code tools such as Terraform and Helm
• Solid understanding of data engineering fundamentals and ML lifecycle management
• Ability to design scalable systems without unnecessary complexity
• Strong debugging and problem-solving skills in distributed systems
• Ownership mindset with excellent communication and cross-functional collaboration skills

What’s Offered

• Competitive salary and equity participation
• Paid vacation in line with local labour regulations
• Opportunities for international collaboration and travel
• Office benefits including meals, snacks, and team events

If you are interested - please apply directly!

Randstad Technologies Ltd is a leading specialist recruitment business for the IT & Engineering industries. Please note that due to a high level of applications, we can only respond to applicants whose skills & qualifications are suitable for this position. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010. For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business.

Global Workspace Provider

Hybrid In the London office 3 times per week

Up to £60k base + 10% bonus + company benefits

Permanent

Rec3 is proud to be working with the worlds number one workspace provider globally, who help 8 million people across six continents work flexibly and more productively.

Our client has spent over 30 years redefining how people and businesses work, now theyre shaping the workspace of the future. With energy, ambition and an innovative mindset, theyre turning big ideas into reality.

As part of their ongoing growth our clients Process Excellence & Automation team is expanding after having already delivered a tonne of benefits through the use of RPA & Intelligent Automation. They are looking to hire an experienced Blue Prism Developer.

The expectation as the Developer, youll be responsible for designing, developing, testing, and deploying Blue Prism automations end to end. This includes building reusable objects and processes in line with best practices, supporting live bots, troubleshooting issues, and managing ongoing enhancements. Youll also work with stakeholders to understand business processes and translate them into well-designed automation solutions, while ensuring documentation, governance, and change management standards are followed.

Youll be comfortable working in an enterprise RPA environment and confident automating processes across multiple applications. Blue Prism certifications, experience in Agile delivery teams, or exposure to other RPA or intelligent automation tools would be a bonus, but not essential.

Required Skills & Experience

• 4+ years of hands-on Blue Prism development experience and BPM Workflows, to demonstrate expert knowledge and significant experience in implementation
• Strong experience automating business processes across multiple applications
• Solid knowledge of exception handling, scheduling and release management
• Strong understanding and proven experience in RESTful APIs and Webservices
• Confident communicator with the ability to explain technology to non-technical audiences
• Background in Software Engineering using C#, C++, Java would be a hugebonus

Location: UK (Remote-first)
Level: Senior / Principal / SVP-equivalent
Compensation: Highly competitive base + discretionary bonus

The Opportunity

We are assisting with the hire for a Senior Golang Engineer to join a small, elite engineering team within a Tier 1 investment bank building production-grade AI platforms at scale.

This is a hands-on engineering role, suited to someone who enjoys building systems, actively attacking them, uncovering weaknesses, and redesigning them with security embedded from day one.

The team operates independently with a startup mindset: modern tooling, minimal bureaucracy, and a strong bias toward shipping real products.

What You’ll Be Doing

• Building secure, production AI platforms using Golang
• Actively breaking and stress-testing systems to identify vulnerabilities
• Conducting ethical hacking and attack simulations on real applications
• Securing AI-specific attack surfaces (e.g. prompt injection, model misuse, data leakage)
• Designing and building security tooling and frameworks
• Embedding security early while maintaining engineering velocity
• Setting engineering and security standards at a senior level
• Mentoring engineers on secure-by-design development practices

What We’re Looking For

• Strong hands-on experience with Golang in production environments
• Background in application, product, or platform security
• Proven experience securing real systems, not just advising on them
• Ability to think like both a builder and an attacker
• Cloud-native experience (containers, Kubernetes, modern infrastructure)
• Interest in AI / GenAI / LLM security (commercial experience preferred, not essential)

No prior financial services experience is required.
Engineers from big tech, scale-ups, and high-growth startups are strongly encouraged to apply.

Why This Role Is Different

• This is not a compliance or governance role
• You’ll be writing and shipping code, not policies
• Security is treated as a product and engineering problem, not a blocker
• High visibility, genuine autonomy, and long-term impact

McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.

Backend Software Engineer / Developer (Go / Golang AWS) London to £80k

Are you a data savvy, backend focussed Software Engineer who enjoys using a range of programming languages with exposure across the full tech stack?

You could be progressing your career working on bleeding edge, Machine Learning and AI powered, audio fraud detection software used by all UK banks, the emergency services and a range of other clients to prevent and detect fraudulent call activities.

As a Software Engineer you’ll join a collaborative Agile team responsible for building and maintaining the critical, cloud (AWS) based data processing platform that enables real-time call risk analysis. You’ll use a range of technology, with a focus on Golang, TypeScript and AWS, to maintain and improve a large microservices architecture.

There’s an open, collaborative environment where learning and personal development are key and there’s a strong pipeline of Greenfield projects as well as flexible working and a host of benefits; the company has been awarded Platinum standard by Investors in People and is multi-award winning with various DEI initiatives and excellent personal growth and career development opportunities.

Location / WFH:

You can work from home most of the time, joining colleagues in the London two days a week; when you are in the office you can enjoy a friendly team environment that encourages knowledge sharing and close collaboration.

About you:

You have advanced analytical and problem solving skills with a strong knowledge of Computer Science fundamentals such as OOP, Data Structures, Deign Patterns, Algorithms

You have commercial Golang development experience (likely to have a background with other OO languages such as Python, Java, C++ but you must be happy to use Golang going forward)

You have a strong knowledge of AWS - they’re using AWS SNS & SQS, Amazon CDK, DynamoDB, Redshift, Lambda, Fargate

You have worked on critical systems that cannot afford to fail

You have experience with SOLID design principles and TDD (Test Driven Development)

You have a good understanding of APIs, databases, NoSQL, event driven architectures, microservices and CI/CD

You have full software development lifecycle experience

You enjoy collaborating and have great communication skills

What’s in it for you:

As a Backend Software Engineer you will earn a competitive package:

Salary to £80k + bonus

25 days holiday (with the option to buy 5 more)

Flexible working (including working from home start / finish times)

Enhanced maternity and paid parental leave packages

Time off to participate in charity initiatives such as Code Club

Pension, Life Assurance, Medical care for you and your family

Monthly Wellness budget to spend on what you like

Gym membership

Annual home office budget

Diverse, inclusive team culture with flexible working

Apply now to find out more about this Backend Software Engineer / Developer (Go / Golang AWS) opportunity.

TPBN1_UKTJ

Salary: £115K - £125K + bonus

Location: Manchester 2-4 days a month

The Opportunity

We’re working with a high-growth business that is scaling its data function to the next level. Data scientists here have traditionally combined reporting with predictive modelling, but the business is now creating a dedicated leadership role to bring focus, structure and engineering rigour to the discipline.

As Head of Data Science, you’ll lead a growing team of 6+ scientists embedded across product and functional teams, while also setting the technical direction and ensuring alignment with company-wide OKRs. You’ll drive the transition towards machine learning engineering, championing end-to-end model ownership from research through to deployment in production. This is a fantastic opportunity to shape the data science strategy, support the career growth of talented scientists, and deliver measurable impact in areas such as search, pricing, personalisation, vouchers, marketing, operations and finance.

Skills and Experience

• Proven leadership experience in data science or machine learning, ideally within product-led or consumer-facing organisations
• Strong background in building and deploying ML models at scale in production environments
• Ability to structure and lead embedded data science teams, partnering effectively with senior stakeholders across multiple domains
• Hands-on technical expertise with tools such as Databricks, Python, Spark, and GCP/BigQuery
• Engineering mindset, with experience moving teams toward machine learning engineering best practices
• Credibility to lead long-tenured individual contributors while providing direction, mentorship and career development

If you are looking for a new challenge, then please submit your CV for initial screening and more details.

Head of Data Science

Senior AI & Automation Engineer

Internal Transformation & Enablement
Binnies an RSK Group company

?? Location: UK (Flexible / Hybrid)

?? Benefits

Heres what we offer:

• ?? 9-day working fortnight
• ?? Competitive pension scheme
• ?? 33 days annual leave
• ?? One paid volunteering day each year
• ?? Enhanced parental leave
• ?? Private medical cover
• ?? Annual bonus (subject to company & individual performance)

?? What this role is (and isnt)

To be considered, you must be technical and hands-on, with direct experience building, deploying, and supporting AI or automation in a real organisation, improving how people work day-to-day.

This is:

• ??? A hands-on engineering role
• ?? Focused on internal transformation
• ?? About building and embedding working solutions
• ?? Adopting team working behaviours with excellent communication and interpersonal skills

This is not a strategy, advisory, or research role.

?? Why this role exists

Binnies is evolving from a traditional engineering and consultancy business into a tech-enabled solutions partner.

Were using AI, automation, and modern platforms to:

• Make Binnies a better, more productive place to work
• Reduce friction and manual effort
• Be a more capable, modern partner for our clients
• Continually find better ways to do what we did yesterday

This role exists to make that real -internally first-by building things people actually use.

?? What youll actually do

You are the person who makes AI real inside the business.

You will:

• Identify and prioritise high-value AI and automation opportunities
• Design, build, and deploy secure, scalable AI-enabled tools and workflows
• Integrate AI into existing platforms and ways of working
• Partner with IT, Digital, and business teams to embed change
• Iterate based on real usage and feedback
• Establish practical patterns and guardrails for internal AI use

?? This is an internally facing role.
Success is measured by impact, adoption, and improvement of services to our clients.

?? What youre good at

Youre a pragmatic engineer who enjoys fixing real problems.

You have demonstrable experience in:

Core engineering

• Writing and maintaining production-quality code (e.g. Python, C#)
• Designing and consuming REST APIs
• Git-based workflows and DevOps-led development

Cloud & DevOps

• Deploying and running services in Azure
• Using managed services (App Services, Functions, containers)
• Owning CI/CD pipelines (Azure DevOps)
• Managing environments, secrets, and configuration securely
• Balancing cost, performance, and reliability

Applied AI

• Working with Azure OpenAI APIs beyond prompt demos
• Retrieval-augmented generation (RAG)
• Embeddings, vector stores, and evaluation
• Guardrails, rate limiting, and failure handling
• Human-in-the-loop workflows

Integration & automation

• Integrating AI into existing enterprise systems
• Automating end-to-end workflows (not just isolated tasks)
• Working with legacy systems and imperfect data

You understand security, permissions, and data sensitivity and why regulated environments require judgement.

?? Youve done this before

In previous roles, youve:

• Reduced everyday friction through AI or automation
• Built tools people actually relied on
• Shipped small improvements and iterated quickly
• Worked pragmatically around constraints
• Learned from things that didnt land and improved them

Your background may include consultancy, a scale-up, or internal transformation in a larger organisation.

??? Your previous job title may have included

(or something similar):

• Senior AI & Automation Engineer
• Business AI Engineer
• Intelligent Automation Lead
• Applied AI Engineer
• Digital Automation Lead
• Enterprise Automation Architect
• Internal Platforms / Productivity Engineer

Titles matter less than what youve built and shipped.

?? This role may not be for you if

• You mainly want to define AI strategy rather than implement solutions
• You prefer research or experimentation over delivery
• Youre looking for a programme- or people-management role
• You need perfect data or conditions before starting

?? Why youll enjoy working here

• You have real licence to build and deploy
• Youre trusted to focus on value, not noise
• You work in a small team that asks, How can we do this better than last time?
• You help shape how a well-established organisation evolves
• Your work is visible, useful and appreciated at all levels

?? If this sounds like you

You may already be doing parts of this role -but feeling constrained by slow decision-making or lack of mandate.

Here, youll have the space and support to do the work properly.
It wont always be easy, but it will be meaningful -and genuinely career-defining.

GenAI Full Stack Engineer - Managing Consultant

Salary: £80,000 - £88,000 pa + £8,000 Bonus plus benefits, perks and healthcare options

Job Type: Permanent - Hybrid / 2 x days per week - Travel to client site

Base Locations: London, Manchester, Newcastle, Glasgow

Overview:

We’re looking for a GenAI Full Stack Engineer who is passionate about solving real-world challenges through technology. You’ll work closely with senior stakeholders both internally and within key clients to create GenAI strategies that translate business issues into relevant technical solutions and competitive propositions that are scalable, secure, and sustainable.

Your Role:

• Collaborate with the team to develop GenAI proof-of-concepts (POCs) for clients using technologies like Retrieval-Augmented Generation (RAG) and intelligent agents.
• Scale existing POCs to production-ready solutions for customer use.
• Design and develop Full Stack applications for both GenAI and non-GenAI projects.
• Support the development of infrastructure to enable robust end-to-end solutions.
• Grow your skills by exploring and experimenting with emerging technologies, including GenAI.

Your skills and experience:

• Backend Development: Experience in building microservices using either Python with FastAPI, or TypeScript with Express or equivalent
• Frontend Development: Experience in building React applications using TypeScript, leveraging frameworks such as Next.js or Vite.
• GenAI Frameworks: Familiarity with tools like LangChain, LangGraph, CrewAI, or Vercel AI (in Python or JavaScript).
• LLM experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama.
• Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment.
• Containerization and Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose.
• Infrastructure as Code (IaC): Exposure to tools like Terraform.
• Monitoring Tools: Familiarity with LLM monitoring tools like Langsmith, Langfuse, or similar.
• CI/CD: Experience with continuous integration and deployment tools such as GitLab, GitHub, or Jenkins.
• Vector Databases: Experience with and (but not limited to) ChromaDB, Pinecone, PGVector, MongoDB , Qdrant etc.
• NoSQL: Familiarity with NoSQL databases (e.g., MongoDB preferred).
• SQL: Experience working with SQL databases like PostgreSQL.
• Proficient in Git and version control platforms like GitHub, GitLab, etc.

To be successfully appointed to this role, it is a requirement to obtain Security Check (SC) clearance.

Based at client locations, working remotely, or based in our Godalming or Milton Keynes offices.
Salary up to £65k plus company benefits.

About Us

Triad Group Plc is an award-winning digital, data, and solutions consultancy with over 35 years’ experience primarily serving the UK public sector and central government. We deliver high-quality solutions that make a real difference to users, citizens and consumers.

At Triad, collaboration thrives, knowledge is shared, and every voice matters. Our close-knit, supportive culture ensures you’re valued from day one. Whether working with cutting-edge technology or shaping strategy for national-scale projects, you’ll be trusted, challenged, and empowered to grow.

We nurture learning through communities of practice and encourage creativity, autonomy, and innovation. If you’re passionate about solving meaningful problems with smart and passionate people, Triad could be the place for you.

Glassdoor score of 4.7

96% of our staff would recommend Triad to a friend

100% CEO approval

See for yourself some of the work that makes us all so proud:

Helping law enforcement with secure intelligence systems that keep the UK safe

Supporting the UK’s national meteorological service in leveraging supercomputers for next-level weather forecasting

Assisting a UK government department responsible for consumer product safety with systems to track unsafe products

Powering systems that help the government monitor and reduce greenhouse gas emissions from commercial transport

Role Summary

Triad is seeking a Senior Data Engineer to play a key role in delivering high-quality data solutions across a range of client assignments, primarily within the UK public sector. You will design, build, and optimise cloud-based data platforms, working closely with multidisciplinary teams to understand data requirements and deliver scalable, reliable, and secure data pipelines. This role offers the opportunity to shape data architecture, influence technical decisions, and contribute to meaningful, data-driven outcomes.

Key Responsibilities

Design, develop, and maintain scalable data pipelines to extract, transform, and load (ETL) data into cloud-based data platforms, primarily AWS.

Create and manage data models that support efficient storage, retrieval, and analysis of data.

Utilise AWS services such as S3, EC2, Glue, Aurora, Redshift, DynamoDB and Lambda to architect and maintain cloud data solutions.

Maintain modular Terraform based IaC for reliable provisioning of AWS infrastructure.

Develop, optimise and maintain robust data pipelines using Apache Airflow.

Implement data transformation processes using Python to clean, preprocess, and enrich data for analytical use.

Collaborate with data analysts, data scientists, developers, and other stakeholders to understand and integrate data requirements.

Monitor, optimise, and tune data pipelines to ensure performance, reliability, and scalability.

Identify data quality issues and implement data validation and cleansing processes.

Maintain clear and comprehensive documentation covering data pipelines, models, and best practices.

Work within a continuous integration environment with automated builds, deployments, and testing.

Skills and Experience

• Strong experience designing and building data pipelines on cloud platforms, particularly AWS.
• Excellent proficiency in developing ETL processes and data transformation workflows.
• Strong SQL skills (postgresql) and advanced Python coding capability (essential).
• Experience working with AWS services such as S3, EC2, Glue, Aurora, Redshift, DynamoDB and Lambda (essential).
• Understanding of Terraform codebases to create and manage AWS infrastructure.
• Experience developing, optimising, and maintaining data pipelines using Apache Airflow.
• Familiarity with distributed data processing systems such as Spark or Databricks.
• Experience working with high-performing, low-latency, or large-volume data systems.
• Ability to collaborate effectively within cross-functional, agile, delivery-focused teams.
• Experience defining data models, metadata, and data dictionaries to ensure consistency and accuracy.

Qualifications & Certifications

• A degree or equivalent qualification in Computer Science, Data Science, or a related discipline (desirable).
• Due to the nature of this position, you must be willing and eligible to achieve a minimum of SC clearance. To be eligible, you must have been a resident in the UK for a minimum of 5 years and have the right to work in the UK.

Triad’s Commitment to You

As a growing and ambitious company, Triad prioritises your development and well-being:

• Continuous Training & Development: Access to top-rated Udemy Business courses.
• Work Environment: Collaborative, creative, and free from discriminatioBenefits:
  • 25 days of annual leave, plus bank holidays.
  • Matched pension contributions (5%).
  • Private healthcare with Bupa.
  • Gym membership support or Lakeshore Fitness access.
  • Perkbox membership.
  • Cycle-to-work scheme.

What Our Colleagues Have to Say

Please see for yourself on Glassdoor and our “Day in the Life” videos at the bottom of our Careers Page.

Our Selection Process

After applying for the role, our in-house talent team will contact you to discuss Triad and the position. If shortlisted, you will be invited for:

1. A technical test including numerical, logical and verbal reasoning
2. A technical interview with our consultants
3. A management interview to assess cultural fit

We aim to complete interviews and progress candidates to offer stage within 2-3 weeks of the initial conversation.

Other Information

If this role is of interest to you or you would like further information, please contact Ryan Jordanand submit your application now.

Triad is an equal opportunities employer and welcomes applications from all suitably qualified people regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion, or belief. We are proud that our recruitment process is inclusive and accessible to disabled people who meet the minimum criteria for any role. Triad is a signatory to the Tech Talent Charter and a Disability Confident Leader.

Recruiting for an organisation investing significantly in AI and innovation as a key driver of their future. In order to achieve their goals, they re creating an innovation function with the autonomy and sponsorship to challenge the current products and services.

As Head of AI & Innovation, you ll be entrusted with building and leading this capability from the ground up. You ll operate with senior-level backing to experiment and explore ideas outside of the existing product or technology roadmaps.

This role is for someone who thrives in ambiguity, understands both technology and commercial impact and can turn bold thinking into tangible outcomes.

Key Responsibilities

• Define how AI should be applied across the existing products and services, balancing long-term ambition with short-term experimentation and delivery
• Explore concepts, test assumptions and convert ideas into working prototypes and MVPs that can be validated with real users and stakeholders
• Investigate emerging technologies and approaches, from LLM driven capabilities to advanced analytics, ultimately resulting in new ways of differentiating the existing offerings
• Improve how the business operates through identifying opportunities where AI can remove friction, automate workflows and improve decision-making across internal teams
• Embed AI practices around data usage, model behaviour, transparency and compliance. Ensuring innovation is matched with trust
• Work closely with executive leadership to shape priorities, communicate progress and ensure AI initiatives remain aligned with business strategy
• Recruit, mentor and lead a small group of highly capable Principal Software Engineers, creating an environment that rewards curiosity, pace, and quality

Key Skills

• Proven Innovator who has successfully introduced new technologies and approaches into an established technology organisation and understands how to navigate both opportunity and resistance
• Hands-on experience designing, building and deploying AI-powered solutions, including LLM based systems
• Have clear judgement and ability to communicate where AI adds value
• A solid background in cloud platforms such as AWS and Azure with experience delivering scalable, production grade solutions
• Commercially minded individual who is comfortable translating complex technical ideas into clear business outcomes for senior, non-technical stakeholders
• Experience leading technical teams and influencing across product, engineering and operations without relying on formal authority
• A track record of delivery, moving from ideation to real-world impact, including how new AI features will be utilised by customers
• Must possess experience working with innovative or disruptive technologies

Principal Software Engineer AI & Innovation

Recruiting a Principal Software Engineer with a proven track record of delivering innovative, AI driven solutions and the curiosity to explore beyond traditional technology boundaries.

Within the newly createdAI & Innovation team, you will shape the future of the organisation s products through cutting-edge technology, experimentation and creative thinking.

A truly exciting opportunity to influence and create something new.

Key Responsibilities

• Build innovative MVPs to validate ideas and accelerate learning
• Lead the design and implementation of scalable, high-performance software systems
• Collaborate closely with Product, Design, QA, and Engineering teams
• Evaluate, experiment and recommend new technologies, frameworks and tools
• Mentor and coach engineers to create a culture of innovation and continuous improvement
• Oversee code reviews and ensure delivery of high-quality maintainable software
• Troubleshoot and resolve complex technical challenges
• Contribute to strategic planning and align technology decisions with business goals

Essential Skills

• Significant experience in a senior software engineering position
• Proven experience delivering innovative AI solutions
• Practical knowledge of AI, including building and training LLMs
• Strong understanding of Microservices and modern web architectures
• Deep expertise in programming languages and frameworks such as Java and Spring Boot
• Extensive experience designing large-scale systems
• Strong knowledge of AWS cloud architecture and services
• Excellent problem-solving skills and a results-driven mindset
• Experience mentoring and guiding technical teams to deliver

Desirable Experience

• DevOps practices and CI/CD pipelines
• Secure-by-design development and security best practices
• Contributions to open-source projects

Our client is looking for an experienced Data Scientist to design, build, and optimise machine learning models and advanced analytics solutions that support institutional priorities across a large, complex network. The role blends hands-on data science with strategic impact, using AWS technologies to deliver predictive insights that drive proactive interventions and data-driven decision-making. This is a hybrid role with the expectation of working 2 days pw in the London office.

Skills and experience required:

• Bachelor’s degree in data science, Statistics, Computer Science, Mathematics, or similar
• Experience delivering predictive analytics or machine learning solutions
• Strong skills in Python, SQL, and ML libraries (e.g. scikit-learn, XGBoost, PyTorch, TensorFlow)
• Hands-on experience with AWS ML services (SageMaker, Lambda, Redshift)
• Ability to clearly communicate insights to non-technical stakeholders
• Strong analytical thinking, collaboration skills, and a results-driven mindset

Role responsibilities:

• Build, tune, and maintain predictive and ML models using AWS SageMaker
• Analyse large datasets and perform feature engineering to improve model performance
• Run experiments, test hypotheses, and optimise models for accuracy and value
• Monitor model performance and manage retraining over time
• Collaborate with Data Engineers, BI Developers, and Analysts to integrate outputs into dashboards and reports
• Partner with academic, operational, and IT stakeholders to translate insights into action
• Document models and support knowledge sharing and scalability
• Contribute to the expansion of predictive analytics into advanced ML/AI use cases

Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.

Are you a Back End Java Developer with experience within the iGaming and Gambling sector looking for a new and exciting challenge?

BENEFITS: up to £95k depending on experience, fully remote, excellent benefits package

You will be joining a rapidly expanding company within the iGaming sector, who are committed to providing top-tier gaming experiences to players around the world. They have focused on bringing innovation, transparency, and player satisfaction to the forefront of the industry. And are recognised among the top brands within our market, blending sports betting and online casino entertainment on a cutting-edge, custom-built platform.

You will be a skilled Senior Java Backend Developer who is a self-motivated professional with a strong track record and a passion for excellence. You’ll play a key role in developing innovative iGaming products, leveraging your expertise to drive innovation and efficiency. Your contributions will help deliver high-quality applications and services, reinforcing the company s position as an industry leader.

Core Responsibilities

• Work closely with the team to implement complex backend logic and platform solutions.
• Write clean, scalable, and maintainable code, adhering to industry best practices.
• Stay updated on the latest Java frameworks, libraries, and development techniques.
• Translate business needs into technical solutions, estimating time, costs, and requirements.
• Develop, test, and deploy backend solutions that meet client expectations.
• Provide ongoing support and maintenance for existing and future projects.
• Collaborate with cross-functional teams to shape and execute product roadmaps.
• Partner with creative and development teams to bring ideas and projects to life.
• Create support documentation and deliver training for internal and external users.
• Leverage industry knowledge in iGaming to enhance solutions and ensure compliance with standards.

Required Experience & Expertise

• Previous experience within the iGaming and Gambling Sector
• Expertise in backend development using Java and Spring Boot.
• Skilled in version control with Git Flow.
• Proficient in JPA and Hibernate for seamless database interactions.
• Strong command of SQL for efficient database management.
• Experience with Redis for caching and performance optimisation.
• Knowledge of message queueing systems like AWS SQS or RabbitMQ.
• Well-versed in Test-Driven Development (TDD) with JUnit for robust testing.
• Understanding of Kubernetes for container orchestration.
• Familiarity with AWS cloud services for scalable application deployment.

If you’re passionate about building robust, scalable and resilient back end development and want to be part of a collaborative team, we invite you to apply!

Eligo Recruitment is acting as an Employment Business in relation to this vacancy. Eligo is proud to be an equal opportunity employer dedicated to fostering diversity and creating an inclusive and equitable environment for employees and applicants. We actively celebrate and embrace differences, including but not limited to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran status, and disability. We encourage applications from individuals of all backgrounds and experiences and all will be considered for employment without discrimination. At Eligo Recruitment diversity, equity and inclusion is integral to achieving our mission to ensure every workplace reflects the richness of human diversity.