software engineer

ai engineer

analytics engineer

platform engineer

engineering manager

consulting engineer

Information Tech Consultants

<div>
 
 
 Job Title:
 
 Data Scientist/Machine Learning Engineer
 
 
 
 Location:
 
 UK
 
 
 
 Experience:
 
 2&ndash;5 years
 
 
 
 Education:
 
 Master's in Science (IT/Computer Science/Engineer)
 
 
 
 Employment Type:
 
 Full-Time
 
 
 
 UK based candidates only.
 
 
 
 Information Tech Consultants Ltd (ITC) is an IT management and consulting firm based in Central London. Information Tech Consultants Ltd (ITC) is an IT management and consulting firm based in Central London. We are responsible for sourcing and hiring field experts for various companies. We primarily work with Software and Cloud Hosted Services organizations as well as Mobile Apps and Service companies.
 
 
 
 Required Skills:
 
 
 <ul>
 <li>
 2-4 years of experience in Data science/Machine learning models from coding to deployment.
 </li>
 <li>
 Work with datasets using Python or R, SQL, No SQL.
 </li>
 <li>
 Assist in developing predictive and statistical models
 </li>
 <li>
 Write and optimize queries using SQL.
 </li>
 <li>
 Familiarity with data manipulation libraries (Pandas, NumPy), Understanding of statistics and probability.
 </li>
 <li>
 Hands-on experience with ML libraries like Scikit-learn, TensorFlow, or PyTorch.
 </li>
 </ul>
 
 
 Preferred Skills:
 
 
 <ul>
 <li>
 Hands on experience in coding (mandatory python and SQL or C++).
 </li>
 <li>
 Understanding of Generative AI, Computer Vision cloud technology, NLP, Deep Learning.
 </li>
 <li>
 Familiarity working with large data sets.
 </li>
 <li>
 Project Management background preferred.
 </li>
 </ul>
 
 
 
 
 
 Qualifications :
 
 
 <ul>
 <li>
 
 Master&rsquo;s (Required)
 
 in Data Science, Mathematics, Statistics, Economics, IT related fields and 2- 4 years of experience in Information Technology.
 </li>
 <li>
 You should be entitled to work in the UK with legal work authorization status.
 </li>
 <li>
 Must be willing to travel within the UK as per project/client requirements.
 </li>
 <li>
 Excellent communication skills and teamwork skills.
 </li>
 </ul>
 
 
</div>

Machine Learning Engineer

Scrumconnect Consulting

<div><div>Job Information
<ul><div>Date Opened
<div>24/06/2026
</div></div><div>Job Type
<div>Permanent
</div></div><div>Industry
<div>Government &amp; Public Sector
</div></div><div>Work Experience
<div>5+ years
</div></div><div>Salary
<div>60K
</div></div><div>City
<div>London
</div></div><div>Province
<div>Greater London
</div></div><div>Country
<div>United Kingdom
</div></div><div>Postal Code
<div>EC1A
</div></div></ul></div><div>Job Description
<div>About Scrumconnect Consulting 
Scrumconnect Consulting is a multi-award-winning digital consultancy, recognised for delivering impactful and innovative technology solutions across UK government departments. Our work has positively influenced the lives of over 40 million UK citizens.
We are passionate about user-centred design, agile delivery, and building digital services that make a real difference. Our teams work at the forefront of innovation, helping organisations transform and deliver high-quality, scalable solutions that truly matter. 
Role Summary 
We are seeking an experienced Embedded DevOps Engineer to design, implement, and maintain robust CI/CD pipelines, automation frameworks, and deployment solutions for embedded and edge computing platforms. The role focuses on accelerating software delivery, improving system reliability, enabling secure device management, and supporting large-scale deployment of embedded applications across distributed environments. 
Key Responsibilities 

DevOps &amp; CI/CD 
<ul><li>
Design, implement, and maintain CI/CD pipelines for embedded software and edge applications. 
</li><li>
Automate build, test, packaging, and deployment processes. 
</li><li>
Establish and maintain software versioning, release management, and artifact repositories. 
</li><li>
Improve build efficiency, deployment reliability, and development productivity. 
</li></ul>
Embedded Platform &amp; Device Management 
<ul><li>
Support development and deployment of embedded Linux-based systems. 
</li><li>
Manage device provisioning, configuration, software updates, and lifecycle management. 
</li><li>
Implement secure remote deployment and rollback mechanisms. 
</li><li>
Support fleet-wide software rollout strategies and operational monitoring. 
</li></ul>
Test Automation &amp; Quality 
<ul><li>
Develop and integrate automated testing frameworks including unit, integration, system, and hardware-in-the-loop (HIL) testing. 
</li><li>
Integrate quality gates and automated validation into CI/CD workflows. 
</li><li>
Monitor and improve software quality, test coverage, and deployment success rates. 
</li></ul>
Infrastructure &amp; Reliability 
<ul><li>
Manage build infrastructure, development environments, and deployment platforms. 
</li><li>
Implement Infrastructure as Code (IaC) and configuration management solutions. 
</li><li>
Monitor system performance, availability, and operational health. 
</li><li>
Troubleshoot build, deployment, and runtime issues across environments. 
</li></ul>
Security &amp; Compliance 
<ul><li>
Implement secure software delivery practices and DevSecOps controls. 
</li><li>
Support vulnerability management, patching, and software supply chain security. 
</li><li>
Ensure compliance with organizational security and governance requirements. 
</li><li>
Maintain traceability of software artifacts throughout the release lifecycle. 
</li></ul>
Collaboration 
<ul><li>
Work closely with Embedded Software Engineers, Platform Engineers, QA teams, Security teams, and Product Owners. 
</li><li>
Drive adoption of DevOps best practices and continuous improvement initiatives. 
</li><li>
Contribute to technical standards, documentation, and engineering processes. 
</li></ul>
Required Skills &amp; Experience 

Technical Skills 
<ul><li>
Strong experience with Linux-based environments and system administration. 
</li><li>
Hands-on experience with CI/CD tools such as Jenkins, GitLab CI/CD, GitHub Actions, or Azure DevOps. 
</li><li>
Proficiency in scripting and automation using Python, Bash, or similar languages. 
</li><li>
Strong knowledge of Git and source control management. 
</li><li>
Experience with Docker and containerized development workflows. 
</li><li>
Experience with Infrastructure as Code tools such as Terraform or Ansible. 
</li></ul>
Embedded Systems 
<ul><li>
Experience working with embedded Linux platforms and cross-compilation environments. 
</li><li>
Understanding of embedded software development lifecycles. 
</li><li>
Familiarity with device provisioning, firmware/software updates, and deployment strategies. 
</li><li>
Knowledge of hardware-software integration and debugging processes. 
</li></ul>
Monitoring &amp; Observability 
<ul><li>
Experience with monitoring and logging tools such as Prometheus, Grafana, ELK, or OpenTelemetry. 
</li><li>
Ability to analyze system metrics and troubleshoot production issues. 
</li></ul>
Preferred Qualifications 
<ul><li>
Experience with Yocto, Buildroot, or similar embedded Linux build systems. 
</li><li>
Knowledge of Kubernetes and container orchestration platforms. 
</li><li>
Experience with edge computing, IoT platforms, or distributed device management. 
</li><li>
Familiarity with secure development lifecycle (SDLC) and DevSecOps practices. 
</li><li>
Experience working in regulated or mission-critical environments.</li></ul> 
Our interview process 
We keep things straightforward. Following an initial CV review, successful candidates will be invited to a short screening call with our recruitment team, followed by a two-stage process comprising a technical assessment and a values-based interview with the hiring team. We aim to move quickly and will keep you informed at every stage. 
Equal Opportunities 
Scrumconnect Consulting is an equal opportunities employer. We are committed to building a diverse and inclusive team and welcome applications from all backgrounds, regardless of age, disability, gender, ethnicity, religion, or sexual orientation.</div></div></div>

Embedded DevOps Engineer

Parser Limited

<div>Senior Backend Engineer (Java/Adobe Experience Manager) 
Who is Parser?

Technology alone does not create impact- the right teams do. Founded in 2018, Parser is a boutique technology services and consulting firm helping global organisations solve complex business challenges through digital transformation, product development and AI enablement.

We are a fast-growing team of 340+ engineers and consultants across Europe (UK, Spain, Portugal), the Americas (US, Argentina, Uruguay, Colombia), and the Middle East.
We combine global reach with a mindset focused on agility, senior expertise, and close collaboration. We work as an extension of our clients&rsquo; teams, helping them define the right problems, shape solutions, and deliver technology-driven outcomes that create measurable business value. Our expertise spans software engineering, AI &amp; data, product development, and customer experience, delivered by teams that combine strong technical depth with a consulting mindset. 
Why Join Us?

If you are looking for a place where you can think beyond execution, take true ownership of outcomes, influence decisions, and continuously learn alongside top-tier specialists in a truly global environment, we&rsquo;d love to meet you. 
How will you impact? 
At Parser, we build the infrastructure that powers enterprise customer communications at scale. We're looking for a Senior Java Engineer who brings deep backend expertise, with a DevOps mindset, and a passion for building reliable, high-quality systems that make a real difference to customers. 
Your key responsibilities:
<ul>
<li>Designing, implementing, and maintaining scalable customer communication solutions, with a focus on Adobe Experience Manager (AEM) and related enterprise tools</li>
<li>Developing high-quality backend services in Java (Spring Boot)</li>
<li>Building and operating cloud infrastructure on Microsoft Azure, using Terraform for Infrastructure as Code</li>
<li>Championing CI/CD best practices to enable seamless, confident software delivery</li>
<li>Taking ownership of system reliability, maintainability, and performance</li>
<li>Producing clear, thorough documentation that supports team velocity and system longevity</li></ul> 


Tech Stack
<ul>
<li>Languages: Java (primary), JavaScript / TypeScript (nice to have)</li>
<li>Frameworks: Spring Boot</li>
<li>Cloud &amp; Infra: Azure, Terraform</li>
<li>Architecture: Microservices</li>
<li>Databases: PostgreSQL (SQL), CouchDB (NoSQL)</li>
<li>Monitoring: Splunk, New Relic, xMatters</li>
<li>Version Control: GitHub</li>
<li>Tooling: Zendesk, JIRA</li></ul> 


What you'll bring to the role:
<ul>
<li>6+ years of hands-on experience delivering production Java applications</li>
<li>Strong understanding of Spring Boot and microservices architecture</li>
<li>Experience with Adobe Experience Manager (AEM) or similar enterprise content/communication platforms</li>
<li>Proficiency with cloud platforms - Azure preferred; AWS or GCP also valued</li>
<li>Familiarity with Terraform or other IaC tooling (or a genuine drive to get up to speed)</li>
<li>Experience with CI/CD pipelines - e.g. GitHub Actions</li>
<li>Solid grasp of both SQL and NoSQL databases</li>
<li>Excellent communication skills and comfort working in an Agile (Scrum/Kanban) environment</li></ul> 


Nice to Have:
<ul>
<li>Experience with JVM languages beyond Java (Kotlin, Scala, Groovy)</li>
<li>Exposure to TypeScript or Node.js for a full-stack context</li>
<li>Background in system design and distributed systems</li>
<li>Proficiency in Python for scripting or data-adjacent tooling</li>
<li>Familiarity with LLMs, model architectures, and MCP, and experience integrating or building AI-powered features</li>
<li>Understanding of Kubernetes - container orchestration, scaling strategies, networking, and resource management</li></ul> 


Location:

Candidates based in UK/London: Hybrid model, 2-3 days per week in the office at Welwyn Garden City 
You will receive:
<ul>
<li>The chance to join an organization with triple-digit growth that is changing the paradigm on how software products are built.</li>
<li>The opportunity to be part of an amazing, multicultural community of tech experts.</li>
<li>A highly competitive compensation package.</li>
<li>A flexible and hybrid working environment.</li>
<li>Medical insurance.</li></ul> 


Parser is committed to fostering an inclusive workplace and providing equal employment opportunities to all applicants regardless of race, religion, gender, sexual orientation, age, disability, or any other protected characteristic under applicable law. 
If you require reasonable accommodations during the recruitment process, please let us know and we will work with you to support your participation. 
By applying to this role, you acknowledge that your personal data will be processed in accordance with Parser&rsquo;s Privacy Notice for recruitment purposes. 
Parser may use AI-assisted tools during certain stages of the recruitment process to support operational efficiency. Our recruiting teams use AI to streamline note-taking and scheduling. All hiring decisions are made by people, with human review and oversight. 
Come and join our #ParserCommunity.

Follow us on Linkedin</div>

Senior Java Engineer (Adobe Experience Manager)

<div>
 Position Description
 
 
 We're looking for a Software Engineer with experience in workflow orchestration and backend development to join our engineering team. This role is ideal for engineers who enjoy building scalable distributed systems while designing and implementing complex business workflows using Camunda and Spring Boot microservices.
 
 
 You'll work across the full software lifecycle - from modelling and orchestrating business processes, to building resilient microservices and operating reliable, secure backend platforms in on-premise enterprise environments.
 
 
 Your future duties and responsibilities
 
 
 <ul>
 <li>
 Design and develop workflow-driven backend systems using Camunda BPM and Spring Boot microservices
 </li>
 <li>
 Build and maintain scalable RESTful and event-driven services that integrate into larger distributed platforms
 </li>
 <li>
 Model, implement, and optimise business processes and orchestration flows using BPMN
 </li>
 <li>
 Write clean, maintainable, and well-tested production code using modern engineering practices
 </li>
 <li>
 Own services end-to-end, including deployment, monitoring, support, and operational health
 </li>
 <li>
 Build and improve CI/CD pipelines and automated delivery workflows
 </li>
 <li>
 Collaborate closely with platform, frontend, DevOps, and security teams to deliver integrated solutions
 </li>
 <li>
 Contribute to architecture discussions around orchestration, scalability, resiliency, and performance
 </li>
 <li>
 Troubleshoot production workflow and integration issues while continuously improving reliability and observability
 
 
 </li>
 </ul>
 
 Required Qualifications To Be Successful In This Role
 
 
 
 <ul>
 <li>
 Strong experience as a backend software engineer
 </li>
 <li>
 Hands-on experience building Spring Boot microservices in production environments
 </li>
 <li>
 Experience designing and building RESTful APIs and asynchronous/event-driven integrations
 </li>
 <li>
 Proficiency in Java and modern backend development practices
 </li>
 <li>
 Strong understanding of distributed systems, microservice patterns, and service-to-service communication
 </li>
 <li>
 Experience with containerised environments and orchestration platforms (Docker, Kubernetes, OpenShift, etc.)
 
 
 </li>
 </ul>
 Security Clearance
 
 
 <ul>
 <li>
 Candidates must be willing and able to work onsite at the client location five days per week. Hybrid or remote working arrangements are not available for this role.
 </li>
 <li>
 Candidates must hold current HLC clearance, or be eligible and willing to obtain and maintain HLC clearance, subject to client requirements.
 </li>
 <li>
 Previous experience working within secure, government, defence, or highly regulated environments will be highly regarded.
 </li>
 <li>
 Due to client security requirements, only candidates who meet the applicable clearance criteria will be considered.
 
 
 </li>
 </ul>
 
 Together, as owners, let&rsquo;s turn meaningful insights into action.
 
 
 
 Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you&rsquo;ll reach your full potential because&hellip;
 
 
 You are invited to be an owner from day 1 as we work together to bring our Dream to life. That&rsquo;s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company&rsquo;s strategy and direction.
 
 
 Your work creates value. You&rsquo;ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.
 
 
 You&rsquo;ll shape your career by joining a company built to grow and last. You&rsquo;ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.
 
 
 Come join our team&mdash;one of the largest IT and business consulting services firms in the world.
 
 
</div>

Software Engineer

Principal Java Engineer

Lorien

<div>
 
 AI Solutions Engineer / Applied AI Engineer
 
 
 Location: London (Hybrid) 3 days onsite
 
 
 Perm
 
 
 Cheapside, London EC2V 6EE
 
 
 
 
 
 Criteria:
 
 
 &bull; AI-Native Engineering Practice
 
 
 &bull; Software Engineering Experience
 
 
 &bull; Databricks and Python Proficiency
 
 
 &bull; Functional Empathy and Stakeholder Engagement
 
 
 &bull; Solution Ownership and Quality
 
 
 
 
 
 We&rsquo;re looking for engineers who are not only deeply technical in AI but also excellent communicators and stakeholder partners.
 
 
 
 
 
 Some engineers love technology for technology&rsquo;s sake. This role is different. At HeadFirst x Impellam, we&rsquo;re looking for someone who enjoys figuring things out, understands how organizations work, and gets a kick out of building solutions that genuinely improve the day-to-day reality of teams across the business.
 
 
 
 
 
 As an Applied AI Engineer, you work directly with departments such as Finance, HR, Sales, and Marketing to streamline processes, eliminate friction, and help people work smarter through AI, automation, and lightweight internal applications. You aren&rsquo;t expected to be an expert in every framework, platform, or tool from day one. What matters more is how you think, how quickly you learn, and how effectively you turn ambiguity into practical results.
 
 
 This is a high-profile role that makes a real difference to the business. You&rsquo;ll spend just as much time understanding workflows, challenging assumptions, and shaping solutions as you do building them. The people who thrive here are curious, pragmatic, and comfortable working closely with stakeholders rather than hiding behind tickets or isolated engineering backlogs.
 
 
 Your impact
 
 
 
 
 
 As an Applied AI Engineer, you&rsquo;ll serve as a consultant, a builder, and a problem solver all in one. You&rsquo;ll work closely with business teams to understand how work actually gets done. Sometimes the challenge is operational inefficiency. Sometimes it&rsquo;s fragmented tools, repetitive manual work, or slow decision-making caused by disconnected systems and unclear information flows.
 
 
 Your role is to identify where AI, automation, or lightweight applications can deliver immediate value, and then help bring that value to life quickly and pragmatically. Rather than spending months designing perfect systems, you focus on delivering usable solutions quickly, gathering feedback early, and improving continuously. This could involve building an internal workflow tool, creating an AI-powered assistant for operational teams, or streamlining reporting and approvals through automation.
 
 
 
 
 
 You work within a modern Databricks and AI-enabled ecosystem, but technology is never the end goal. The real objective is to help teams operate more effectively, make better decisions, and eliminate operational bottlenecks. AI plays a central role in how you work. AI coding assistants and agent-based workflows help accelerate development and experimentation, allowing you to move quickly while still maintaining control over quality, usability, and adoption.
 
 
 At the same time, you work closely with the Platform, Data, and Engineering teams to ensure that the solutions you deliver fit within a scalable and secure organizational environment.
 
 
 
 
 
 What you will do
 
 
 &bull; Work closely with business stakeholders to understand operational challenges, workflows, and inefficiencies;
 
 
 &bull; Translate ideas and business needs into practical tools, automations, and AI-powered solutions;
 
 
 &bull; Build lightweight internal applications that boost productivity and simplify daily work;
 
 
 &bull; Use AI coding assistants and AI-native workflows to speed up delivery and experimentation;
 
 
 &bull; Continuously refine solutions based on real user feedback and adoption;
 
 
 &bull; Support teams in improving processes rather than simply digitizing existing inefficiencies;
 
 
 &bull; Collaborate with Finance, HR, Commercial, and leadership teams on business-critical initiatives;
 
 
 &bull; Balance speed and quality by making pragmatic engineering decisions that maintain momentum;
 
 
 &bull; Introduce smarter workflows through automation, AI agents, and integrated internal tools;
 
 
 &bull; Help shape how AI is adopted responsibly and practically throughout the organization;
 
 
 &bull; Share ideas, best practices, and suggestions for improvement that help teams move faster and work more effectively.
 
 
 
 
 
 Who you are
 
 
 You&rsquo;re someone who enjoys solving problems in complex, real-world environments. You likely combine technical curiosity with strong communication skills and a genuine interest in how businesses operate. You don&rsquo;t need perfect requirements or fully defined roadmaps to get started. Instead, you ask questions, explore possibilities, and move toward solutions quickly. You&rsquo;re energized by learning new things and comfortable adapting as technology evolves. AI doesn&rsquo;t intimidate you. You see it as a practical tool that helps you think faster, build faster, and create more impact.
 
 
 You enjoy collaborating and are comfortable working closely with non-technical stakeholders. You know how to explain ideas clearly, challenge assumptions constructively, and maintain momentum without overcomplicating things. Most importantly, you care about results. You enjoy delivering useful solutions, seeing people adopt them, and improving them over time based on what works in practice.
 
 
 
 
 
 Why this role stands out
 
 
 This is not a traditional engineering role focused solely on technical implementation. You will work closely with decision-makers, influence how teams operate, and help shape the practical implementation of AI across an international organization. The role combines engineering, consulting, problem-solving, and business collaboration in a way that offers broad exposure and a tangible impact.
 
 
 If you enjoy fast-paced environments, practical innovation, and building solutions that people actually use, this role offers the opportunity to have a direct impact on how modern AI capabilities create value within a global business.
 
</div>

AI Solutions Engineer / Applied AI Engineer

GreySpark Partners

GreySpark Partners is a specialist consultancy that helps capital markets firms transform how they operate, compete and innovate. We combine deep industry expertise with hands-on delivery to solve complex business, technology and regulatory challenges for investment banks, asset and wealth managers, fintechs and other financial institutions, with a strong focus on front-office trading, electronic trading risk and governance.
 
GreySpark is building a new AI Engineering capability and is seeking an experienced software engineer with a keen interest in ing AI in production environments. This is an opportunity to work on high-impact engagements across financial services and technology sectors, helping clients identify where AI creates value, where it introduces risk, and how it can be deployed responsibly at scale.
 
As a Lead AI Engineer, you will build business applications using agentic AI and establish the engineering standards that make that work repeatable. You will ship production systems, spearhead a new AI-engineering practice, and help shape how GreySpark and its clients adopt AI technologies.
 
This is a senior position. You will write code. You will supervise the AI writing code. You will decide how the team writes code.
 
Responsibilities
 
Engineering
 
Build business applications using agentic AI. Design, build, and ship systems in which autonomous agents plan, invoke tools, and complete multi-step tasks against real business processes.
 
Build automated and AI-augmented data pipelines. Move data reliably at scale, and use AI to classify, extract, enrich, and validate it.
 
Technical leadership
 
Identify and maintain AI-engineering best practices. Own the standards for evaluation, testing, observability, prompt and agent design, and safe deployment across the team.
 
Train colleagues in AI-engineering disciplines. Raise the bar through code review, workshops, and direct mentoring.
 
Build a client community. Create and run the forums, briefings, and demos where clients share best practices and new ideas.
 
Advisory and expertise
 
Support the strategy team on due diligence engagements. Assess the technical substance behind a target’s AI claims.
 
Assess technology vendors’ AI maturity, opportunities, and risks. Translate findings into clear recommendations for non-technical decision-makers.
 
Skills & Experience
 
Essential
 
A strong software engineering background, with several years of experience building and running production systems. Java, TypeScript, and Python expertise is required.
 
Some experience building agentic AI applications. This includes work with large language models, tool use, retrieval-augmented generation, and agent orchestration frameworks.
 
Data engineering experience across pipeline orchestration, cloud data platforms, and the patterns that keep pipelines reliable.
 
The judgment to lead. You can set standards, review the work of others, and explain technical trade-offs to senior management.
 
Desirable
 
A record of evaluating and improving AI systems, not only prototyping them. You know how to measure quality and catch regressions before they reach production.
 
Consulting, due diligence, or client-facing advisory experience.
 
A track record of presenting to or running technical communities.
 
Familiarity with AI governance, security, and risk frameworks.
 
Qualifications
 
Minimum bachelor’s degree in computer science, mathematics, or related technical discipline
 
Relevant professional certifications are advantageous
 
What we offer
 
At GreySpark, you will have the opportunity to work across a diverse range of projects, industries and technologies, combining hands-on engineering with direct client engagement. We offer a highly collaborative environment, significant autonomy, and the chance to help shape a growing capability from an early stage. The role provides meaningful influence over both client outcomes and the future direction of the firm’s AI engineering practice.
 
In addition, we offer a competitive compensation package aligned to experience, along with a comprehensive benefits offering including pension, private medical insurance, dental cover, income protection, life assurance and generous holiday allowance.
 
To find out more about the role please contact our Talent Acquisition Team
 
Email: careers-uk@greyspark.com

Lead AI Engineer

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