Reference: BH-377p Working Hours: Full-time Job Type: Permanent Salary: Competitive Location: Remote or Hybrid - London office About The Client: Our client is a rapidly growing Infrastructure-as-a-Service (IaaS) provider driving digital transformation. Key Responsibilities: Architecture & System Design Design and evolve scalable backend services and product components. Make sound architectural decisions across APIs, services, and data layers. Lead delivery from design through production operation. Full-Stack Development Build backend systems primarily in Python. Develop secure, performant APIs supporting AI workflows. Contribute to modern web applications where required (e.g., Next.js). Reliability & Performance Improve monitoring, observability, and system resilience. Optimise performance and support production stability. Engineering Leadership Maintain high coding standards and test coverage. Contribute to code reviews and documentation. Mentor engineers and support technical growth. Collaboration Work closely with Product and Design to deliver scalable solutions. Communicate technical trade-offs and manage cross-team dependencies. Essential skills and requirements: Strong experience building production backend systems and APIs in Python (Flask or similar). Proven ownership of asynchronous or compute-intensive workflows. Experience delivering full-stack features (e.g., Next.js). Practical understanding of AI lifecycle workflows (training, evaluation, deployment, inference). Solid system design knowledge including API design, SQL/NoSQL data systems, and security. Experience managing systems in production (monitoring, debugging, incident response). Familiarity with Git, CI/CD, Docker, and Kubernetes. Desirable Skills: Exposure to LLMs or generative AI platforms. Experience with model lifecycle management or AI observability. Understanding of GPU-based or distributed systems. Experience building developer platforms or workflow orchestration tools. Whats on Offer: Competitive salary + bonus Flexible remote or hybrid working Wellbeing benefits Clear progression in a high-growth environment Strong ownership and collaborative culture TPBN1\_UKTJ

Automation Data Tester (Data QA Engineer)

Fully Remote

£260 per day

Outside IR35

6-month contract

Must have UK Citizenship or ILR (no Tier 2 dependent visas)

Harvey Nash’s client is looking for an experienced Data QA Engineer .

You’ll join a collaborative Data Engineering team, working closely with developers and architects to deliver high-quality, accurate, and reliable data solutions.

Role duties:

Designing and executing test cases across SQL databases and tables

Performing data validation, verification, and integrity checks

Ensuring data accuracy (types, columns, duplicates, field issues, etc.)

Implementing automated data testing processes

Producing clear test plans, reports, and documentation

Working closely with data engineers and software teams to resolve issues quickly

Understanding data structures and proposing improvements

Essential:

Strong SQL experience (including Stored Procedures)

Experience with Microsoft Azure (especially Azure Data Factory )

Experience working with configuration/parameter files (JSON, YAML)

Desirable:

Knowledge of Git (GitHub, GitLab, Bitbucket)

Python skills

Person Specification:

Detail-orientated and diligent

A clear and confident communicator

A self-starter comfortable working independently

Passionate about delivering genuine value to clients

Able to collaborate effectively within cross-functional teams

TPBN1_UKTJ

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)

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.

TPBN1_UKTJ

A fantastic opportunity for a Site Reliability Engineer / Systems Engineer to support highly available, scalable production systems within a fast-growing technology environment, working across cloud platforms, DevOps, networking and operational resilience.

If you’ve also worked in the following roles, we’d also like to hear from you: DevOps Engineer, Operations Engineer, Cloud Engineer, Platform Engineer, Systems Engineer, Infrastructure Engineer, Production Engineer

SALARY: up to £70,000 per annum (depending on experience) + Benefits

LOCATION: Remote and Hybrid Working Options Available. You can either work remotely of if you prefer Hybrid working from home and the office in Altrincham, Greater Manchester, North West England

JOB TYPE: Full-Time, Permanent

JOB OVERVIEW

We have a fantastic new job opportunity for a Site Reliability Engineer / Systems Engineer to join a growing technology team focused on delivering reliable, scalable and resilient platforms and services.

As a Site Reliability Engineer/ Systems Engineer you will act as the vital link between operations, end users and backend development teams, ensuring system availability, performance optimisation and effective incident management across live environments.

This Site Reliability Engineer/ Systems Engineer role offers the chance to work with modern cloud technologies, containerisation, observability tools and automation practices, while influencing long-term reliability improvements across business-critical systems.

APPLY TODAY

Ready to make your next career move? Apply Now for our Recruitment Team to review.

DUTIES

Your duties as the Site Reliability Engineer / Systems Engineer include:

• Incident Triage and Ownership: Acting as first-line technical escalation for live production issues through to resolution or handover

• System Monitoring and Availability: Maintaining high availability, performance and scalability of production platforms and services

• Observability Implementation: Managing logging, monitoring, alerting and metrics to proactively identify and resolve issues

• Reliability Improvements: Collaborating with development teams to translate operational insights into long-term platform resilience

• Automation and Resilience: Supporting automation, incident response and continuous improvement practices

• New Service Support: Ensuring new products and features are operable, reliable and scalable from day one

• Cross-Team Collaboration: Working with network engineering, operations and support teams to diagnose service issues

• Documentation and Reporting: Creating and maintaining runbooks, escalation guides and incident reports

• Incident Prioritisation: Balancing customer impact with long-term system health and stability

• Security and Compliance: Supporting compliance with security, availability and regulatory frameworks

CANDIDATE REQUIREMENTS

ESSENTIAL

• Previous experience in a Site Reliability Engineer, DevOps Engineer, Systems Engineer or Operations Engineer role

• Experience supporting production services at scale within a DevOps or SRE environment

• Strong working knowledge of ISP-related networking concepts including DNS, DHCP, PPPoE, RADIUS and IPv4/IPv6

• Experience with observability tools such as Prometheus, Grafana, ELK or Splunk

• Hands-on experience with containerisation and orchestration using Docker and Kubernetes

• Cloud platform experience, ideally Google Cloud Platform, including automation and scaling practices

• Strong Linux administration skills with scripting capability in Bash, Python or similar

• Familiarity with CI/CD pipelines and source control tools such as GitHub Actions

• Understanding of security frameworks and operational resilience best practices

DESIRABLE

• Experience within ISP, MSP or telecommunications environments

• Familiarity with enterprise IT architectures including OSS and BSS systems

• Knowledge of information security frameworks such as ISO27001, NIST or GDPR

• Experience with infrastructure automation tools such as Terraform or Ansible

BENEFITS

• Smart casual dress code

• Free access to gym facilities

• Access to a financial wellbeing platform (on successful completion of probationary period)

• Access to an employee assistance programme, Virtual GP and Elderly Care support (on successful completion of probationary period)

• Access to cycle to work, childcare, and electric vehicle schemes after six months

• Brand new office with excellent transport links

• Supportive team culture, growth and career progression

HOW TO APPLY

To be considered for this job vacancy, please submit your CV to our Recruitment Team who will review your details. CV’s of Job Applicants meeting this requirement will be submitted to our Client for consideration. By submitting your job application to us you are hereby giving us your express consent to submit your details to our Client for this purpose.

JOB REF: AWDO-P14376

Full-Time, Permanent Jobs, Careers and Vacancies. Find a new job and work in Altrincham, Greater Manchester, North West England. Multi-Job Board Advertising and CV Sourcing Recruitment Services provided by AWD online.

AWD online specialise in sourcing candidates and advertising vacancies on multiple job boards for companies on a non-commission basis. AWD online operates as an employment agency.

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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

Up to £510 per day - Inside IR35

Remote

6 months

My client is an instantly recognisable consultancy who urgently require a Platform Engineer with Active SC Clearance for an end client within the public sector.

Key Requirements:

Proven commercial experience working as a Platform / DevOps Engineer within the public sector.
Active SC Clearance.
Strong, commercial experience with Terraform for IaC, and with Databricks.
Proven track record configuring and managing Azure DevOps CI/CD pipelines.
Deep understanding of Azure cloud services and components.
Practical experience with Docker containerisation.
Knowledge of security scanning tooling (Trivy or similar).
Scripting proficiency in Bash (Python is desirable).
Solid understanding of Git-based version control, specifically within Azure DevOps.
Nice to have:

Immediate availability.Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C’s, Privacy Policy and Disclaimers which can be found at (url removed)

We are looking for a skilled Rust/Python Software Engineer with exposure to embedded systems development to join an engineering team. In this role, you will design and build reliable, high-performance software that runs close to hardware-as well as applications level development using rust & python You will work on systems where performance, safety, and efficiency are critical, using Rust to deliver robust solutions for embedded platforms.

Key responsibilities

Develop and maintain software written in Rust/Python for front end/ embedded and systems-level applications.

Work with cross-functional teams including hardware, firmware, and systems engineers.

Design efficient, safe, and maintainable code for resource-constrained environments.

Integrate software with hardware peripherals and low-level interfaces.

Contribute to architecture decisions and code reviews.

Debug and optimise performance on embedded targets.

Support testing, validation, and deployment of firmware/software components.

Required Skills and Experience

Professional experience with Rust and Python programming.

Knowledge or experience working with embedded systems or firmware development.

Understanding of low-level programming concepts (memory management, concurrency, hardware interfaces).

Knowledge of microcontrollers, RTOS, or bare-metal environments.

Knowledge of debugging tools and performance optimisation techniques.

Desirable Skills

Experience with embedded Linux or cross-compilation toolchains.

Familiarity with hardware communication protocols (SPI, I²C, UART, CAN, etc.).

Exposure to safety-critical or real-time systems.

Experience contributing to open-source Rust projects.

What We Offer

Opportunity to work on challenging low-level and hardware-integrated systems.

Collaborative engineering environment with a focus on quality and performance.

Competitive salary

Flexible working arrangements where possible

A Senior Innovation technologist is a hybrid professional who combines technical skills (like software development, hardware engineering, or digital fabrication) with creative thinking (such as
design, storytelling, and user experience) to build innovative, often interactive experiences.

In Simple Terms:

An innovation technologist uses technology as a creative mediumlike an artist uses paint or a
musician uses instrumentsto bring ideas to life, often in new or unexpected ways.

What They Typically Do:
Prototype ideas quickly using code, electronics, sensors, AI, or immersive tech (like AR/VR).
Collaborate with creatives (designers, artists, strategists) and developers to make
experimental digital projects.
Bridge the gap between concept and implementationturning what if? into here it is.
Common Areas of Work:
Advertising and media: Creating interactive installations, digital billboards, or tech-driven
campaigns.
Startups & product innovation: Rapid prototyping for new digital products.
Museums & events: Building experiential exhibits or immersive environments.
AI and generative art: Using algorithms and data as tools of expression.
Example Projects:
Using AI to accelerate the SDLC
Insurance: IoT data used to enable continuous underwriting and more accurate pricing
A hyper-personalised Loans product with unique rates and terms & Conditions.
Creating a cost optimised multi model journey management tool

Key Skills:
Knowledge of GCP Cloud architecture, development and deployment (K8s)
Coding (JavaScript, Python, Java, etc.)
UX/UI design
AI/ML, generative design, 3D engines (e.g. Unity)

Technical Architect UK Remote - Occasional travel to Reading or Glasgow Salary up to £95,000 SC Clearance eligibility required
Were looking for an experienced Technical Architect to join our Cloud Engineering and Platforms practice. This hands-on leadership role involves designing and building secure, automated, and scalable cloud platforms, with a primary focus on Microsoft Azure and a growing multi-cloud footprint across AWS and GCP. This is an ideal opportunity for a pragmatic architect with strong engineering depth and a clear architectural mindsetsomeone who can articulate what excellence looks like and bring it to life through modern DevOps, automation, and infrastructure-as-code patterns.
Key Responsibilities

• Translate business needs into secure, scalable architectures usingWellArchitectedFrameworks
• Lead platform architectureandembedNFRs
• Build automated cloud platforms usingIaC
• Develop CI/CD pipelines and reusable modules, guardrails, andpolicyascodeto support secure, consistent cloud adoption.
• Applyendtoendsecurity across identity, networking, encryption, secrets, MFA, andzerotrust.
• Implement automated security scanning (SAST/DAST), dependency checks, and secure pipeline patterns, aligning platforms withorganisationaland regulatory standards.
• Work across the full project lifecycle.

About You:

• Experienced in designing and building secure cloud solutions(ideally Azure, with awareness of AWS or GCP)andcloudready, distributed, scalable architectures
• Skilled at leading technical discussions and articulating architectural decisions,
• Advancedknowledge ofIaCautomation (Terraform, Bicep, CloudFormation) with strong DevOps skills across CI/CD pipelines, automation, and modern development practices
• Knowledgeable in cost analysis,optimisation, ROI modelling

Knowledge and Experience of the following would be advantageous:

• Consulting or client facing project leadership experience
• Experience with .NET of Python
• Familiar with cloud-native security tooling

If you are looking to join a leading consultancy specialising in Digital, Security and AI solutions then this is the role for you.
Bright Purple is an equal opportunities employer: we are proud to work with clients who share our values of diversity and inclusion in our industry.

Tech Focus: Azure / OpenAI / Copilot

Rate: Inside IR35: £500-£600/day

Location: Fully Remote

This is a fantastic opportunity for an AI Engineer to join a global construction and property consultancy that has undergone significant digital transformation. The organisation has invested heavily in its digital and data foundations and now wants to accelerate its AI capabilities. They have already built an AI platform and identified use cases. They now need an engineer who can help bring them to life.

Although the journey has begun, this hire is critical. As the AI Engineer, you will be driving this forward. Taking a hands-on role in developing AI solutions from the ground up and establishing best practices, standards, and guardrails for future development.

The organisation wants to leverage AI to streamline processes, solve complex challenges, and deliver tangible business outcomes. They work exclusively within the Microsoft Azure ecosystem, so practical experience with AI tooling in a cloud environment is essential.

What We Are Looking For

• Proven, practical AI development experience - building solutions that have delivered real business outcomes
• Experience developing chatbots, agentic AI, or similar applied AI applications
• Strong understanding of best practices, governance, and guardrails for safe and scalable AI adoption
• Scripting experience - Python, R, or Java.
• Hands-on experience with Azure cloud AI services, such as: Azure AI, Azure Machine Learning, Azure OpenAI (Open to candidates with equivalent experience in other cloud environments)
• Experience with Copilot (or similar tools)
• Experience with OpenAI models

Why This Role?

This is a unique opportunity to help to shape the future of AI for a global business and will give you an exceptional opportunity to further develop your skills and take more ownership.

If this sounds like the right fit and you’d like to find out more, please apply directly and we’ll be in touch.

I am partnering with a highly respected financial services organisation to hire an Applied AI / Automation Engineer on a 12-month fixed-term contract. The organisation has a strong track record of innovation, operational excellence, and a culture that values collaboration, flexibility, and diversity. This opportunity sits within a modern Data Science team and will play a pivotal role in designing and building an AI-enabled reporting and reconciliation platform that will transform the client's Fund Administration processes. Role Overview The successful candidate will report into the Head of Data Science and work closely with a dedicated Product Manager in the Fund Administration team. This is a hands-on engineering role where you will architect, build, and deliver production-grade automation solutions in a real-world financial environment. Key Responsibilities Lead the design and delivery of an automated reporting and reconciliation platform. Build intelligent workflows covering data ingestion, validation, reconciliation, and NAV calculation. Establish exception-handling and human-in-the-loop processes where required. Ensure accuracy, auditability, operational resilience, and clear observability across the platform. Work closely with operations and product stakeholders to translate complex workflows into technical solutions. Evolve the solution into a robust internal product with clear maintainability and scalability. Deliver a production-ready automation platform within 12 months, reducing manual effort and increasing transparency. Qualifications & Experience Proven experience in automation engineering and applying AI in operational settings. Strong hands-on capability in Python and SQL . Experience building data pipelines, automation systems, and integrating APIs. Familiarity with production engineering best practices (testing, CI/CD, monitoring). Ability to work cross-functionally with non-technical teams. Experience in reconciliation, accounting, or controlled financial workflows (advantage). Experience working in regulated or audit-sensitive environments. Exposure to workflow orchestration tools. Experience productising internal tools (TypeScript, React, Next.js or similar). TPBN1\_UKTJ

Tech Focus: Azure / OpenAI / Copilot Rate: Inside IR35: £500-£600/day Location: Fully Remote This is a fantastic opportunity for an AI Engineer to join a global construction and property consultancy that has undergone significant digital transformation. The organisation has invested heavily in its digital and data foundations and now wants to accelerate its AI capabilities. They have already built an AI platform and identified use cases. They now need an engineer who can help bring them to life. Although the journey has begun, this hire is critical. As the AI Engineer, you will be driving this forward. Taking a hands‑on role in developing AI solutions from the ground up and establishing best practices, standards, and guardrails for future development. The organisation wants to leverage AI to streamline processes, solve complex challenges, and deliver tangible business outcomes. They work exclusively within the Microsoft Azure ecosystem, so practical experience with AI tooling in a cloud environment is essential. What We Are Looking For Proven, practical AI development experience - building solutions that have delivered real business outcomes Experience developing chatbots, agentic AI, or similar applied AI applications Strong understanding of best practices, governance, and guardrails for safe and scalable AI adoption Scripting experience - Python, R, or Java. Hands‑on experience with Azure cloud AI services, such as: Azure AI, Azure Machine Learning, Azure OpenAI (Open to candidates with equivalent experience in other cloud environments) Experience with Copilot (or similar tools) Experience with OpenAI modelsWhy This Role? This is a unique opportunity to help to shape the future of AI for a global business and will give you an exceptional opportunity to further develop your skills and take more ownership. If this sounds like the right fit and you'd like to find out more, please apply directly and we'll be in touch

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. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)

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 TPBN1\_UKTJ

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

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.

We are currently looking for an experienced ML & AI Engineer to join a major technology program delivering advanced AI-driven solutions within the banking sector. The role involves working on innovative AI initiatives, building scalable infrastructure, and developing intelligent systems that power agent-based workflows and conversational AI platforms. You will collaborate with cross-functional teams to design and implement next-generation AI capabilities and help drive the evolution of AI-powered products. Program Scope Develop and provision infrastructure that supports agentic AI workflows across both Azure and Google Cloud Platform (GCP) environments. Provide data science expertise to support the design of agent-based solutions, including Coach AI and future AI Assistant capabilities. Create integration patterns for AI agents to interact with banking systems and perform actions on behalf of customers. Contribute to the development of new AI products within the Conversational Banking Lab. Key Initiatives Include Agent Summarisation Develop advanced capabilities to summarise complex and nuanced customer conversations. App Search Evolution Transform existing vector search functionality into a fully generative AI-driven search experience , creating a single unified interface for users. Evaluation Methods Build automated evaluation frameworks to test and validate both deterministic and generative AI conversations at scale. Required Skills & Experience Must Have Strong Python development skills , with 2+ years of experience building production-grade applications using Large Language Models (LLMs) . Solid understanding of software engineering principles , including: Microservices architecture CI/CD pipelines Event-driven architecture Hands-on experience with AI engineering practices , including: RAG (Retrieval-Augmented Generation) pipelines Prompt engineering LLMOps Runtime monitoring and evaluation of AI systems Experience with Vertex AI Experience in data engineering , including building scalable data pipelines using Python and Spark . Strong knowledge of GCP-native services , including: BigQuery (BQ) Spanner Dataflow Firestore Nice to Have Experience with Agentic AI frameworks , such as: LangGraph ADK CrewAI Multi-agent architectures Experience building deployable AI solutions (production environments rather than notebook-only solutions). Knowledge of data ontologies and graph-based data models . Exposure to Agile or Scrum development methodologies . TPBN1\_UKTJ

Lead Full Stack Software Engineer - Public Sector Digital Transformation

Location: UK (Fully Remote)

Security Clearance: SC cleared/eligible

Lead engineering teams building modern, impactful digital services for the UK public sector.

We’re supporting a purpose-driven digital consultancy in hiring a Lead Software Engineer to guide multidisciplinary teams on high-profile transformation programmes. You’ll shape architectures, lead delivery, mentor engineers, and drive best-practice engineering - all while helping public sector organisations improve services for people and communities.

If you’re an experienced engineer who enjoys leadership, hands-on problem solving and collaborating with non-technical stakeholders, this is an excellent next step.

The Role

As a Lead Software Engineer, you’ll set the technical direction for complex software systems, ensuring solutions are high-quality, secure and scalable. You’ll manage and mentor engineers, foster a culture of continuous improvement, and work directly with product, UX, DevOps and delivery teams to deliver user-centred digital services.

You’ll also help shape engineering culture through your craft - from code standards to CI/CD pipelines to architectural decision-making.

What You’ll Be Doing

Leading the architecture, design and delivery of large-scale digital services

Managing, coaching and developing software engineers at multiple levels

Championing engineering best practice, secure design and high coding standards

Working with Product, UX, DevOps, QA and other teams to turn business needs into robust technical solutions

Driving continuous improvement across performance, reliability, security and development processes

Overseeing and improving CI/CD pipelines , automation and release processes

Conducting code reviews and providing actionable, constructive feedback

Troubleshooting complex technical challenges

Identifying and introducing new technologies or tools where beneficial

Managing scope, timelines and technical delivery across projects

Contributing to early-stage discovery, bids, and occasionally supporting hiring activity (e.g., technical assessments)

What We’re Looking For

Essential

Extensive full-stack engineering experience across design, build, test and deployment

Strong hands-on skills in Java, Spring Boot, Python, microservices , and ideally a polyglot mindset

Deep understanding of Agile , TDD , DevOps and modern engineering practices

Real-world experience building and maintaining CI/CD pipelines and automated testing frameworks

Solid experience with cloud platforms (AWS, Azure or GCP) and Infrastructure as Code

Knowledge of modern architecture patterns: microservices, event-driven, containerised (Docker/Kubernetes)

Experience leading engineering teams through successful delivery

Strong grounding in secure, scalable and well-architected system design

Excellent communication skills, including working with stakeholders at all levels

Desirable

Knowledge of emerging technologies (e.g., AI/ML tools)

Previous senior/lead engineering experience

Experience running large multidisciplinary projects

Line management experience

Experience interviewing and supporting technical hiring

Experience contributing to bids/proposals

Who This Role Suits

This role is ideal for engineers who want to:

Lead teams delivering meaningful public sector services

Have a mix of hands-on engineering, leadership and stakeholder interaction

Influence engineering standards and culture

Shape long-term technical direction for major transformation programmes

Work in an environment that values empathy, collaboration and purpose

Why Join

This consultancy is committed to people-powered transformation , combining technology, design and data to help public sector organisations deliver outcomes that genuinely improve lives. You’ll join a thoughtful, collaborative community that values diversity, learning and openness.

Benefits include:

30 days holiday + bank holidays

2 paid volunteer days

Enhanced maternity/paternity leave

5% employer pension contribution

Health cash plan & wellbeing support

Personal L&D budget

Share Incentive Plan

EV leasing, cycle-to-work and green benefits

and a supportive culture where your leadership can make a real impact.

?? Interested?

If you’re a lead-level engineer who cares about high-quality software and wants to help shape better public services, we’d love to hear from you.

Reasonable Adjustments:

Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients.

If you need any help or adjustments during the recruitment process for any reason , please let us know when you apply or talk to the recruiters directly so we can support you.

TPBN1_UKTJ

A leading technology consultancy is seeking an experienced Machine Learning Operations Engineer to help deploy AI/ML solutions into production environments across a range of client engagements. This role is focused on operationalising models (MLOps / AIOps), rather than building ML applications from scratch. Key Responsibilities Design and develop machine learning operational processes across diverse client environments Analyse client requirements and provide clear technical recommendations Manage the full ML lifecycle, including data selection, model deployment, operationalisation, and monitoring Develop Infrastructure as Code for ML platforms using AWS CDK Collaborate closely with data scientists to productionise ML models Required Experience & Skills Proven experience deploying AI/ML models into production (MLOps / AIOps) Strong AWS experience (other cloud platforms will not be considered) Experience with CI/CD pipelines for ML/DL models Proficiency in Python and common ML libraries (e.g. Scikit-learn, TensorFlow, PyTorch) Experience with container technologies (Docker, Kubernetes) Consultancy or client-facing experience preferred Strong communication and stakeholder management skills Qualifications IT / Technology-related degree (e.g. Computer Science, Engineering, Mathematics or similar) Minimum 2:1 classification (or equivalent) Bachelors degree or higher required TPBN1\_UKTJ

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