About Scrumconnect Consulting: Scrumconnect Consulting is a multi-award-winning digital consultancy, recognised for delivering impactful technology solutions across UK government departments. Our work has positively influenced the lives of over 40 million UK citizens. With a strong commitment to user-centred design and agile delivery, and more to deliver innovative digital services that matter.

Role Description

As a Lead Software Engineer, you will provide technical leadership across the development and enhancement of the digital services. You will design and oversee secure, scalable application architectures within Google Cloud Platform, ensuring alignment with GDS standards and public sector governance. You will lead development across Python-based services, APIs and web applications, ensuring integration with data platforms and Pega systems. You will champion secure coding practices, CI/CD automation and reusable design patterns, while mentoring engineers and supporting structured knowledge transfer

Preferred tech stack

Python including Django or Flask, Google Cloud Platform services, API development and integration including Apigee, PostgreSQL, GitHub and CI/CD pipelines, Terraform, JavaScript and modern web frameworks

Responsibilities

• Lead the design and development of scalable, secure cloud-native applications
• Define coding standards and enforce secure software development life cycle practices
• Oversee API design and integration across distributed services
• Collaborate with architects and DevOps teams to ensure resilient deployments
• Embed automated testing and CI/CD pipelines into development workflows
• Provide technical assurance within governance and design review forums
• Mentor engineers and deliver structured capability development initiatives.

Diversity & Inclusion
At Scrumconnect Consulting, we believe that diversity drives innovation. We are committed to creating an inclusive environment where every individual is respected, valued, and supported. We welcome applications from candidates of all backgrounds and experiences, and we actively encourage applications from women, people with disabilities, under-represented communities, and those seeking flexible working arrangements.

About Scrumconnect Consulting: Scrumconnect Consulting is a multi-award-winning digital consultancy, recognised for delivering impactful technology solutions across UK government departments. Our work has positively influenced the lives of over 40 million UK citizens. With a strong commitment to user-centred design and agile delivery, and more to deliver innovative digital services that matter.

Role Description
As a Senior Big Data Engineer, you will lead the engineering of complex data solutions across Google Cloud Platform environment. You will architect and implement high-performance data pipelines integrating multiple internal and external data sources. You will apply strong data modelling and warehousing principles using BigQuery and Cloud SQL, embed governance through Dataplex and ensure automated orchestration via Airflow. You will provide technical leadership to ensure resilience, scalability and compliance across data services that underpin critical national infrastructure programmes.

Preferred Tech Stack Expertise
Google Cloud Platform including BigQuery, Cloud SQL and Cloud Composer, Apache Airflow, Dataplex, Dataform, Great Expectations or similar data quality tools, Terraform, Python and SQL

Responsibilities

• Lead design and delivery of enterprise-scale data pipelines
• Define data modelling standards and warehouse optimisation strategies
• Embed governance, metadata management and security controls
• Oversee automated orchestration and monitoring of data workflows
• Provide assurance for performance, scalability and compliance requirements
• Collaborate with DevOps teams to ensure reliable deployments
• Mentor data engineers and contribute to structured upskilling initiative

Diversity & Inclusion
At Scrumconnect Consulting, we believe that diversity drives innovation. We are committed to creating an inclusive environment where every individual is respected, valued, and supported. We welcome applications from candidates of all backgrounds and experiences, and we actively encourage applications from women, people with disabilities, under-represented communities, and those seeking flexible working arrangements.

About Scrumconnect Consulting: Scrumconnect Consulting is a multi-award-winning digital consultancy, recognised for delivering impactful technology solutions across UK government departments. Our work has positively influenced the lives of over 40 million UK citizens. With a strong commitment to user-centred design and agile delivery, and more to deliver innovative digital services that matter.

Role Description
As a Middle QC Engineer, you will take responsibility for designing and implementing test strategies across cloud-based applications and data services. You will develop automated testing frameworks, support API life cycle validation and ensure quality across CI/CD pipelines. You will work closely with DevOps and development teams to embed quality gates within deployment processes and maintain high standards of reliability across digital services.

Preferred Tech Stack Expertise
Automated testing frameworks, Python or similar Scripting language, API testing tools, CI/CD integration, GitHub, Jira

Responsibilities

• Design and execute comprehensive test plans for cloud-native applications
• Develop and maintain automated regression and integration test suites
• Validate API performance, security and data integrity
• Integrate automated tests within CI/CD pipelines
• Collaborate with architects and engineers to improve testability of solutions
• Support production defect triage and resolution
• Contribute to mentoring junior team members and knowledge transfer initiatives

Diversity & Inclusion

At Scrumconnect Consulting, we believe that diversity drives innovation. We are committed to creating an inclusive environment where every individual is respected, valued, and supported. We welcome applications from candidates of all backgrounds and experiences, and we actively encourage applications from women, people with disabilities, under-represented communities, and those seeking flexible working arrangements

About Scrumconnect Consulting: Scrumconnect Consulting is a multi-award-winning digital consultancy, recognised for delivering impactful technology solutions across UK government departments. Our work has positively influenced the lives of over 40 million UK citizens. With a strong commitment to user-centred design and agile delivery, and more to deliver innovative digital services that matter.

Role Description
As a Solutions Architect, you will design robust, secure and scalable solutions within Google Cloud Platform ecosystem. You will translate business and technical requirements into end-to-end architecture designs covering applications, APIs, data platforms and integrations. You will ensure alignment with GDS standards, Technology Code of Practice and public sector governance frameworks. You will support multi-cloud portability considerations where required and ensure reusable architecture patterns that future-proof digital estate. You will provide architectural leadership, assurance and mentoring to strengthen in-house capability.

Preferred Tech Stack Expertise Google Cloud Platform services, API management platforms such as Apigee, Python and web application frameworks, PostgreSQL, Terraform, Kubernetes or Cloud Run, secure architecture design principles

Responsibilities

• Design end-to-end cloud-native solutions aligned to functional and non-functional requirements
• Ensure security, scalability and resilience across application and data architectures
• Define reusable architecture patterns and promote future-proof design principles
• Provide assurance through technical design reviews and governance boards
• Support API life cycle design and integration within GCP environments
• Collaborate with delivery teams to ensure architectural alignment throughout implementation
• Lead mentoring and capability development initiatives

Diversity & Inclusion
At Scrumconnect Consulting, we believe that diversity drives innovation. We are committed to creating an inclusive environment where every individual is respected, valued, and supported. We welcome applications from candidates of all backgrounds and experiences, and we actively encourage applications from women, people with disabilities, under-represented communities, and those seeking flexible working arrangements.

Job Summary

We are seeking a Nokia SDN Engineer to design, implement, and support Software-Defined Networking (SDN) solutions within telecom and enterprise environments. The role involves working with SDN controllers, network automation, and programmable network infrastructure to deliver scalable and highly available network services.

The ideal candidate should have strong experience with IP/MPLS networks, automation, and Nokia SDN platforms in hybrid cloud environments.

Key Responsibilities

• Design, deploy, and manage Nokia SDN-based network architectures .
• Implement network automation and orchestration for provisioning and life cycle management.
• Configure and troubleshoot IP/MPLS networks and SDN controllers.
• Integrate SDN solutions with cloud and hybrid infrastructure environments.
• Develop and maintain network automation scripts using Python or similar tools.
• Monitor network performance and optimize traffic engineering policies.
• Collaborate with cross-functional teams including cloud, security, and DevOps.
• Provide support for incident management, root cause analysis, and service restoration.

Required Skills & Qualifications

• Bachelor’s degree in Computer Science, Telecommunications, or related field.

• 3-7 years of experience in network engineering or SDN environments.

• Strong knowledge of: IP/MPLS networking

• Routing protocols (BGP, OSPF, IS-IS)

• SDN architectures

• REST APIs and automation

• Experience with network virtualization and cloud networking.

• Familiarity with Linux environments and Scripting (Python, Ansible).

£60,000 - £70,000

Remote (UK-based)

Are you a highly experienced Web Scraper who can scrape from heavily defended sites for a leading platform in AI-driven Search Intelligence? If so, this may the next exciting step in your career.

THE COMPANY

This leading company is at the forefront of using AI to power its Search Intelligence Platform.

THE ROLE

As a Python Web Scraping Engineer, you will scrape data from heavily defended sites using Python.

Specifically, you can expect to be involved in the following:

• Using browser automation tools (Playwright, Selenium, Puppeteer or similar)
• HTML parsing and data extraction
• Handling bot detection systems
• Cloud-based scraping at scale

SKILLS AND EXPERIENCE

The successful Python Web Scraping Engineer will have the following skills and experience:

• Anti-bot detection and evasion
• Browser fingerprinting techniques
• CAPTCHA solving and handling
• Proxy management and IP rotation

BENEFITS

The successful Python Web Scraping Engineer will receive the following:

• Salary between £60,000 - £70,000 - depending on experience
• Competitive benefits

HOW TO APPLY

Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

Senior Software Engineer - Bazel / Java We are seeking a collaborative and curious backend Engineer to help drive and develop the next generation of developer infrastructure and tooling as we establish a unified, robust and scalable monorepo ecosystem for all engineers at Spotify.. This role helps to support VCS and CI systems in addition to a Fleet Management product for helping developers at our client manage large scale software changes. In the last year, we have invested a huge amount of time and effort into the next steps of that and our migration towards monorepos. The role is located in our Platform Developer Experience (PDX) R&D Studio. The PDX R&D Studio oversees and owns cross discipline infrastructure that cuts across all engineering at our clent including our VCS, CI systems and beyond. YOU MUST HAVE EXPERIENCE WITH BAZEL TO BE CONSIDERED FOR THIS ROLE Role Duties Bring your experience and knowledge of working with Bazel and scaling monorepos to millions of lines of code to help us rethink the future of backend engineering at Spotify Help us migrate to, in addition to own and maintain Bazel and any related abstractions built to improve the developer experience Collaborate with our adjacent infrastructure teams across the company to develop what a best in class monorepo experience means Essential Skills Strong passion for making developers highly productive Experience developing and maintaining tools for large monorepo-based codebases Excellent problem solving skills Experience working with the Bazel build system and its ecosystem (e.g: rulesets such as rules*jvm*external, IntelliJ Bazel plugin, etc.) Fluency in Java, Python, Starlark and TypeScript This contract role can be worked fully renmotely but you must be based in the UK. I have interview slots ready to be filled so dont delay and apply ASAP to be considered. Randstad Technologies is acting as an Employment Business in relation to this vacancy. TPBN1\_UKTJ

Role: Lead DevOps Engineer Rate: £675 - £715 per day (Inside IR35 - Umbrella) Location: Fully Remote (UK-Based) Duration: Initial 6 months (extensions highly likely) Clearance: Active SC Clearance (Required) The Opportunity Join a high-profile Public Sector transformation programme. We are seeking a senior-level DevOps Engineer to serve as technical leads in the design and evolution of secure, cloud-native platforms. This is a pure IaC (Infrastructure as Code) environment focused on enterprise-scale resilience and security. Core Technical Stack \* AWS Master: Deep expertise across EC2, Lambda, S3, IAM, and VPC. Terraform Expertise: Proven track record in designing and refactoring complex IaC environments (Git/GitLab integration). CI/CD Orchestration: Advanced experience with GitLab CI and Jenkins to automate end-to-end delivery pipelines. Containerization: Practical experience with Docker and Kubernetes (EKS) for scaling microservices. Scripting: High proficiency in Python, Bash, and Ansible for automation and 'code review' leadership. Responsibilities Lead Technical Design: Shape the architectural direction of the AWS environment. Refactoring & Quality: Lead code reviews and promote refactoring techniques to enhance a multi-site enterprise codebase. Security & Compliance: Implement robust security measures aligned to GDS and Home Office security standards. Stakeholder Liaison: Act as the technical bridge between IT colleagues and business clients to track prioritisation and delivery. Apply Now for immediate consideration 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.

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Machine Learning/Data Engineer

£700-750/day overall assignment rate to umbrella

Fully remote

3-6 month initial

Apply today to join a forward-thinking, tech-driven FTSE 100 organisation using data science and AI to enhance customer experience, optimise supply chains and drive sustainable growth. With 40% of sales from sustainable products, this is a company that combines scale, innovation and purpose.

As a Machine Learning Engineer, you’ll help maintain the stability and performance of core data and ML systems across Europe. This technical engineering role focuses on reliability, optimisation and critical fixes, ideal if you excel at investigating and debugging complex data flows and ML issues in live production environments.

We’re looking for individuals with:

Experience: Proven background as a Machine Learning Engineer.

Technical Skills: Strong in SQL and Python (Pandas, Scikit-learn, Jupyter, Matplotlib).

Data transformation & manipulation : experience with Airflow, DBT and Kubeflow

Cloud: Experience with GCP and Vertex AI (developing ML services).

Expertise: Solid understanding of computer science fundamentals and time-series forecasting.

Machine Learning: Strong grasp of ML and deep learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, BERT, LSTM, NLP, Transfer Learning).

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

SOFTWARE ENGINEER / OFFENSIVE SECURITY / RED TEAM

Fully Remote

Up to £100,000 + Excellent Staff Bens + Share Scheme

SECURE has Strategically Partnered with a Multi-Award-Winning, Software-Based Organisation at the forefront of Pre-Emptive Exposure Management. As a market leader backed by significant Venture Funding, they expand Offensive Security capabilities, specifically around Threat Detection Engineering, in their mission of helping organisations understand how they could be compromised. Success in this position will enable the business to build Detection Strategies that Continuously Identify Real-World Exploitation, helping Fortune 500 Companies & Critical Infrastructure Providers outrun Real-World Threats in Real-Time.

Our Client is looking for an ambitious Engineer who sits at the Intersection of Software Engineering and Offensive Security . You will Not Just Write Code; you will Architect the Cloud-Native Engines & Big Data Pipelines that Power Automated Red Teaming. Your work will “Bridge the Gap” Between Manual Research & Scalable, Real-Time Threat Simulation.

Skills & Experience of Cyber Security Engineer:

Core Engineering: Minimum 2 Years Background within Software Engineering (Python or Go) with Focus on Maintainable, Production-Grade Code.

Cloud Architecture: Deep experience with Cloud-Native Services (AWS etc) & Serverless Architectures.

Big Data: Proven Ability to Handle High-Volume Data Processing & Ingestion Pipelines.

Offensive Exposure : Interest or Experience in Security (CTFs, Red Teaming) and understanding of TTPs.

Problem Solving: Proactive Approach to Navigating Technical Challenges.

Experience of working within Fast-Moving Growth Environments or B2B Scale-UpsFocusing on Enterprise Clients

Bonus: Contributions to Open-Source Projects or Public Security Tooling

Responsibilities of Application Security Engineer:

Cloud-Driven Engineering: Utilise Cloud-Native Services to Develop Resilient, Big Data Solutions that form their Offensive Security & Data Processing Capabilities.

Data Pipeline Development: Engineer & Maintain Robust Data Pipelines that Process Attack Surface & Offensive Security Data, Delivering Real-Time Insights to Enhance Red Team Capabilities.

Offensive Security Innovation: Lead R&D Projects that push the limits of Offensive Security, Replicating Adversarial Tactics at Scale to Uncover Vulnerabilities.

Architect Scalable Solutions: Design & Implement Scalable Infrastructures that Underpin Cutting-Edge Offensive Tools, Ensuring Efficiency.

Operationalize Research: Collaborate in Translating Manual Exploit Research into Automated, High-Fidelity Detection Engines.

Engineering Excellence: Champion Best Practices in Code Quality, CI/CD & Infrastructure-as-Code (IaC).

Searches: Offensive Security Engineer / Cyber Security Engineer / Software Security Engineer / Red Team / CI/CD / Software Engineer

TPBN1_UKTJ

?? Software Engineer - Developer Infrastructure & Tooling (Platform Developer Experience) ?? About the Role We're seeking a curious, collaborative Engineer to help build the next generation of developer infrastructure and tooling You'll play a critical role in creating a scalable, unified monorepo ecosystem, enabling engineers across the organisation to work faster, collaborate better, and innovate with confidence. This is a high-impact contract role focused on developer productivity, platform scale, and long-term infrastructure evolution. ??? What You'll Do ?? Design and scale Bazel-based monorepos containing millions of lines of code ?? Lead and support the migration to monorepos, owning and evolving Bazel and associated tooling ? Create abstractions, workflows, and automation that significantly enhance the developer experience ?? Partner closely with platform and infrastructure teams to define and deliver best-in-class monorepo tooling ?? Influence the future of backend engineering by improving speed, reliability, and simplicity at scale ?? Who You Are ?? Passionate about making developers highly productive and empowered ??? Proven experience building and maintaining tooling for large-scale monorepo environments ?? A strong problem solver who thrives on complex infrastructure challenges ??? Hands-on experience with Bazel and its ecosystem (e.g. rules\_jvm\_external, IntelliJ Bazel plugin, etc.) ?? Fluent in Java, Python, Starlark, and TypeScript ?? Contract & Location ?? 6-month contract ?? Fully remote ?? £750 / per day ?? Working within an EMEA time zone to support global collaboration Randstad Technologies is acting as an Employment Business in relation to this vacancy. TPBN1\_UKTJ

Contract Machine Learning Engineer (LLM & GC)

6-Month Contract | Outside IR35 | £600 per day

We are seeking an experienced Machine Learning Engineer to support the design and build, production ready ML models on Google Cloud Platform (GCP). This is a hands-on delivery role, focused on turning models into scalable, reliable, production systems that solve real business problems.

The contract will run for at least 6-months, will be Outside IR35 at £600 per day, and we are looking to start the project at the beginning of March. This role suits a delivery-focused ML Engineer who enjoys taking models from concept through to production, rather than staying purely in research or experimentation.

Key Responsibilities

Design, build, and productionise machine learning models using GCP-native services

Translate business problems into deployable ML solutions

Develop and maintain end-to-end ML pipelines (training, testing, deployment, monitoring)

Work with data scientists and engineers to operationalise models at scale

Implement best practices for model performance, versioning, and lifecycle management

Ensure solutions are secure, scalable, and cost-efficient within GCP

Required Experience

Strong hands-on experience building and deploying ML models on Google Cloud Platform

Experience with services such as Vertex AI, BigQuery, Cloud Storage, and Cloud Functions / Cloud Run

Solid Python experience for ML and data engineering workloads

Experience productionising models (not just experimentation or notebooks)

Understanding of MLOps concepts: CI/CD, monitoring, retraining, and model governance

Ability to work independently in a contract environment and deliver at pace

Nice to Have

Experience with real-time or near-real-time ML use cases

Exposure to data pipelines and orchestration tools

Prior work in regulated or large-scale enterprise environments

Contract Details

Duration : 6 months

Rate : £500 per day

IR35 : Outside IR35

Start : March 2026

To learn more about this opportunity, please send your CV to Method Resourcing for consideration.

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

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Core Duties Design and develop machine learning models for traditional ML use cases (forecasting, classification, anomaly detection) and GenAI/LLM applications Lead experimentation cycles: define hypotheses, design experiments, evaluate results, and iterate rapidly while adhering to governance requirements Transition validated experiments into production-ready solutions, working closely with other engineers on deployment and monitoring Build and optimise ML pipelines using AWS services and experiment tracking tools Develop and integrate LLM-powered solutions for tracing, evaluation, and production monitoring Implement robust experiment tracking, model versioning, and reproducibility practices with full audit trails Design feature engineering approaches and contribute to feature store development Support production models through monitoring, performance analysis, and continuous improvement Apply responsible AI practices, including model explainability and fairness assessment Present experiment findings and production outcomes to stakeholders, articulating operational and strategic value Mentor junior colleagues and share learnings across the team About You You will have experience in many of the following: Hands-on experience developing and deploying ML models in Python using frameworks such as scikit-learn, XGBoost, PyTorch, or TensorFlow Strong experience with AWS ML services (SageMaker, Lambda, S3) in production environments Strong experiment design skills: hypothesis formulation, A/B testing methodology, and statistical evaluation Proven track record transitioning models from experimentation to production with appropriate governance and quality controls Experience with experiment tracking and MLOps tooling (MLflow, Weights & Biases, Data Version Control) Experience developing LLM/GenAI applications, including prompt engineering and RAG architectures It Would Be Great If You Also Had Experience In Some Of These, But If Not Well Help You With Them Experience with advanced LLM techniques: agents, tool use, and agentic workflows Experience with vector databases (Pinecone, Weaviate, pgvector) for RAG applications Experience with feature stores (Feast, AWS Feature Store) Experience with containerisation (Docker) and orchestration (Kubernetes, ECS) Familiarity with Infrastructure as Code (Terraform, CloudFormation) Experience with data processing frameworks (Spark, Dask) for large-scale workloads Understanding of data governance and compliance frameworks 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

Role: Senior CCAI Engineer (12 month FTC)

Reports to: Principal CCAI Engineer

This is a remote opportunity.

Role Purpose:

The Contact Centre AI Engineer plays a pivotal role in delivering change across the Digital Customer Contact (DCC) product suite. This includes supporting the integration and evolution of the Google CCaaS platform, in-house systems, and cloud-native services. Seniors are expected to, where appropriate, provide technical leadership, and contribute to the development of mid & junior engineers. The role includes line management responsibilities.

Key Accountabilities and Responsibilities:

Lead and deliver SaaS initiatives, ensuring alignment with the DCC product roadmap.

Support the Principal Engineer in executing the technical strategy for the DCC SaaS product.

Develop and maintain full stack solutions using .NET, JavaScript, and Python.

Contribute to the design and deployment of serverless functions on Google Cloud Platform (GCP).

Assist in the development of Chrome extensions to enhance agent experience.

Implement secure authentication using JWT and OAuth 2.0.

Support CI/CD pipeline development and maintenance for Google Cloud technologies.

Collaborate with cross-functional teams to ensure successful delivery of features and integrations.

Manage and support API integrations using Apigee.

Participate in testing automation and quality assurance processes.

Provide mentorship and technical guidance to mid & junior engineers.

Where applicable, take on management responsibilities, including performance reviews and development planning.

Skills, Experience, and Knowledge:

Proven experience in full stack development, particularly in .NET and cloud-native environments.

Hands-on experience with GCP services including Contact Centre AI, GCP Functions, and Cloud Storage.

Familiarity with Chrome extension development and secure authentication protocols.

Experience with CI/CD pipelines and DevOps practices.

Strong understanding of API management using Apigee.

Proficiency in JavaScript and Python.

Exposure to Azure infrastructure and networking is a plus.

Demonstrated ability to lead delivery streams and mentor team members.

Excellent problem-solving, communication, and collaboration skills.

Customers and Key Stakeholders:

Work closely with the Principal Engineer and Head of Digital Customer Contact to align technical delivery with strategic goals.

Collaborate with Contact Centre Ops Managers, IT, and Data teams.

Engage with external partners and stakeholders to ensure delivery meets expectations.

What we offer in return?

A collaborative and fast paced work environment

Health care cash plan

Yearly bonus scheme

24 days annual leave plus Bank Holidays and the ability to buy additional leave (annual leave also increases with service)

Life Assurance 4x annual salary

Vibrant, modern offices

About the business:

Markerstudy is a leading provider of private insurance in the UK, insuring around 5% of the private cars on the UK roads, 20% of commercial vehicles and over 30% of motorcycles in total premium levels of circa £1.2b. Markerstudy also has a large and growing direct presence in the market as well.

TPBN1_UKTJ

We are looking for a Senior Platform Engineer to join a growing platform team supporting a large-scale SaaS platform. This role focuses on improving reliability, scalability, and performance while helping drive a major cloud-native transition to Azure and Kubernetes.

You will work closely with engineering teams to modernise infrastructure, automate operations, and ensure highly observable and resilient systems in a production environment handling sensitive data.

Key Responsibilities

• Design and deliver cloud migration and containerisation initiatives
• Operate and improve production monitoring, alerting, and system reliability
• Automate infrastructure provisioning using Pulumi and Ansible
• Participate in incident response and on-call rotations
• Lead blameless post-mortems and continuous improvement efforts
• Collaborate with product engineering teams on observability and performance

Key Skills

• Strong experience with Azure cloud architecture
• Hands-on Kubernetes experience
• Pulumi experience
• Experience troubleshooting distributed systems
• Monitoring and observability tools such as Prometheus, Grafana, or Graylog
• Linux systems administration
• Scripting with PowerShell, Bash, or Python
• Experience with SQL Server, PostgreSQL, or Redis
• Strong documentation and communication skills

Desirable

• Software development background (C#, Go, TypeScript, Python)
• Experience with Ansible
• Go development experience
• Experience in regulated environments
• Familiarity with Windows / IIS environments

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

AI, Automation & Emerging Technology
UK Junior Mid Level 2+ Years Experience

About the Role

We re building a disciplined R&D capability to explore emerging technologies, validate new approaches, and feed high-quality innovation into our Product and Engineering teams.

As our AI Research Analyst (R&D), you ll generate the technical evidence that supports strategic decisions. You ll research AI and automation technologies, evaluate vendors and tools, build (basic) timeboxed proofs of concept in Python and/or C#, and produce clear, decision-ready outputs.

This is not a BAU delivery role.
It s structured, evidence-led innovation.

You ll report functionally to the Head of R&D, with day-to-day coaching from the Senior R&D Engineer (Who is an accomplished Software Engineer)

Salary: £40 - £50K Basic + Bonus + Benefits package

Location: North East office, but remote across the UK is totally fine.

What You ll Bring

Essential

• 2+ years in a technical analyst, research, or solutions-focused role
• Some Hands-on coding ability in Python and/or C# (You’ll learn software engineering from the senior R&D engineer, who’ll learn R&D from you!)
• Practical understanding of AI/ML landscape (LLMs, APIs, strengths & limitations)
• Strong analytical thinking and structured evaluation skills
• Excellent written communication clear, concise, decision-ready outputs
• Self-directed working style with confident stakeholder engagement
• Familiarity with workflow orchestration / BPMN fundamentals

Desirable

• Experience building AI-integrated applications
• API and cloud platform exposure
• Vendor/technology selection experience
• Knowledge of process automation or orchestration platforms

Why Join

• Direct exposure to cutting-edge AI and automation
• Real influence over technology decisions
• Clear progression into Senior R&D or specialist AI roles
• Close collaboration with Architecture, Engineering, and Product

We re looking for curiosity and rigour in equal measure someone excited by emerging AI, but disciplined enough to separate signal from noise.

Apply now!

We are seeking an experienced AI Architect to join a global consulting team. This role is central to shaping enterprise-scale AI transformations, combining deep technical expertise with strategic client engagement.

As a Gen AI Architect, you will:

• Lead the design and delivery of AI and cloud-native architectures, including Generative AI, NLP, and LLM solutions.
• Retrieval-Augmented Generation (RAG) and CAG (Cache Augmented) Architecture: Defining architectural patterns for end-to-end pipelines
• Act as a trusted advisor to senior stakeholders, guiding AI roadmaps and strategy.
• Translate complex business needs into scalable AI-driven solutions across public cloud, edge, and hybrid environments.
• Drive thought leadership through client workshops, industry forums, and technical advisory.
• Ensure AI solutions meet governance, ethics, and responsible AI standards.
• Collaborate with internal teams and global partners to deliver world-class AI platforms.

Key Skills & Experience:

• 10+ years of technical leadership (with a strong background in Software Engineering / Enterprise scale architecture)
• Knowledge of GenAI operations (ideally, experience governing AI models in production environments)
• Expertise across cloud platforms (AWS, Azure, GCP), Kubernetes, and containerised systems.
• Strong technical skills in Python, Java/Go, TensorFlow, PyTorch, and data engineering.
• Proven ability to engage directly with CxO-level stakeholders.
• Experience in MLOps, AI governance, and large-scale deployment.
• Recognised professional certifications in AI or cloud technologies.

If you have these skills and would like to find out more, please apply now

Job Title: Platform Operations Engineer
Department: AI Lab - Platform Operations Team
Location: Remote
Employment Type: Full-time, Permanent

Overview
We are actively looking to secure multiple Platform Operations Engineers to join Experis, part of the ManpowerGroup - a global organisation with over $20?billion in annual revenue and more than 1,000 consultants on assignment across 20 clients worldwide.
Experis UK is in an exciting growth phase, with ambitious expansion plans and deep partnerships across multiple industries. Our model is personal and career-focused: we invest in our consultants through continuous training, technology exposure, and collaborative development.

About the Role
IBM’s AI Lab is building next-generation AI platforms and services. To support this mission, we’re growing our Platform Operations Team, responsible for the cloud infrastructure that powers our AI services. As a Platform Operations Engineer, you’ll work across AWS, Kubernetes, and internal automation tools to ensure the platform runs smoothly, securely, and efficiently.
This role suits someone who enjoys working at the intersection of software development and operations - writing code, automating infrastructure, and supporting high-performance machine learning environments.

Key Responsibilities

• Deploy, manage, and monitor applications on AWS EKS (Kubernetes)
• Build and maintain Helm charts, manifests, and ArgoCD configurations
• Contribute Python code for internal tooling, automation, and services
• Manage CI/CD pipelines (e.g. Concourse, GitLab CI)
• Troubleshoot issues in networking, permissions, and application performance
• Work with development teams to streamline deployment and scaling of AI systems
• Maintain secure cloud environments through thoughtful IAM and Terraform configurations

Essential Skills and Experience

• Strong hands-on experience with Kubernetes (deployment, debugging, Helm)
• Intermediate to advanced Python development skills
• Familiarity with CI/CD pipelines, especially writing and debugging them
• Solid understanding of AWS services (EKS, IAM, S3)
• Confident with Linux-based environments and containerization (Docker)

Ideal (Bonus) Skills

• Experience with Helm, ArgoCD, and GitOps workflows
• Practical knowledge of Terraform for infrastructure-as-code
• Understanding of Kubernetes networking, ingress management, and certificate handling
• Exposure to OAuth/OpenID, certificates, and authentication proxies

Shape the Future of AI Innovation

Move beyond delivery work into structured R&D where your technical insights directly influence strategic technology decisions. You’ll explore cutting-edge AI and automation technologies, build evidence-based recommendations, and help define our innovation roadmap.

About the Role

We’re building a disciplined R&D capability to explore emerging technologies, validate new approaches, and feed high-quality innovation into our Product and Engineering teams.

As our AI Research Engineer / Analyst (R&D), you’ll generate the technical evidence that supports strategic decisions. You’ll research AI and automation technologies, evaluate vendors and tools, build timeboxed proofs of concept in Python and/or C# (accomplished coding skills required, but this is not a “developer” role), and produce clear, decision-ready outputs.

This is not a BAU delivery role. It’s structured, evidence-led innovation.

You’ll report functionally to the Head of R&D, with day-to-day coaching from the Senior R&D Engineer.

Salary: £45K - £50K Basic + Bonus + Benefits (25 days holiday, 7% matched pension scheme, private health plan, flexible holiday purchase, remote or hybrid working & much more!)

Location: North East. Hybrid office work / flexible. Durham, Newcastle, Middlesbrough, Sunderland, etc. Although, we are very flexible to this, so more remote fine. As far down as Leeds or the other way & up toward Edinburgh!

What You’ll DoResearch & Evaluation

• Scan the market for emerging AI, orchestration, and automation technologies
• Conduct structured vendor and platform evaluations
• Assess technical fit, integration complexity, security posture, cost, and viability
• Stay current with LLMs, AI APIs, frameworks, and cloud services
• Produce concise evidence packs and recommendation summaries

Hands-On Prototyping

• Build lightweight PoCs to validate APIs and technical hypotheses
• Explore AI capabilities practically (model behaviour, integration patterns, performance limits)
• Contribute Python and/or C# code under technical direction

Focus: validation and insight - not production-grade implementation.

Documentation & Process

• Own R&D documentation, decision logs, and handover packs
• Maintain backlog discipline and enforce stage-gate standards
• Ensure findings are captured clearly and nothing falls through the cracks

What You’ll Bring

Essential

• 2+ years in a technical analyst, research, or solutions-focused role
• Hands-on coding ability in Python and/or C# (We need some here, but you’ll work with the Senior R&D engineer who will guide you on coding)
• Practical understanding of AI/ML landscape (LLMs, APIs, strengths & limitations)
• Strong analytical thinking and structured evaluation skills
• Excellent written communication - clear, concise, decision-ready outputs
• Self-directed working style with confident stakeholder engagement
• Familiarity with workflow orchestration / BPMN fundamentals

Desirable

• Experience building AI-integrated applications
• API and cloud platform exposure
• Vendor/technology selection experience
• Knowledge of process automation or orchestration platforms

What Success Looks Like

Within your first 90 days, you will have:

• Contributed to live evidence packs
• Helped standardise R&D evaluation templates
• Supported an initiative through to handover-ready recommendation

Longer term, success is measured by the clarity, quality, and adoption of your R&D outputs.

Why Join

• Direct exposure to cutting-edge AI and automation
• Real influence over technology decisions
• Clear progression into Senior R&D or specialist AI roles
• Close collaboration with Architecture, Engineering, and Product

We’re looking for curiosity and rigour in equal measure - someone excited by emerging AI, but disciplined enough to separate signal from noise.

Ready to shape our AI innovation strategy? Apply now and help us turn emerging technology into competitive advantage.