Engineer jobs in Charing cross, greater london

Salary: £49,931 per annum

Contract Type: Permanent

Closing date:16  August 2026 at 11pm

About CARE

CARE International is a global humanitarian organisation leading the fight to end poverty in the world’s most challenging situations. Women and girls are at the centre of our work, because we cannot overcome poverty and inequality until all people have equal rights and opportunities. We know that when a crisis erupts, women are often the first to pick up the pieces, so we work alongside women, so they have the power to make change where it’s needed most. Founded in 1945, CARE currently works in over 100 countries and last year alone reached 53.4 million people through nearly 1,500 projects.

Why work for CARE International UK?

This is an exciting opportunity to take a lead role in shaping and securing CARE International UK’s cloud and enterprise infrastructure. As Cloud Systems Engineer, you will help drive infrastructure modernisation, automation and operational excellence across a complex technology environment, ensuring our systems are resilient, secure and scalable. The role offers the chance to lead technical initiatives, influence strategic IT improvements and support the digital capability that enables CARE’s mission-critical work.

About the role

The Cloud Systems Engineer is responsible for leading the management, optimisation and security of CARE International UK’s cloud infrastructure and enterprise systems. The role focuses on maintaining highly available and secure platforms, supporting infrastructure transformation and cloud migration activity, and ensuring effective administration of core services including Azure, Microsoft 365, Windows and Linux servers, identity services, networking, backup and disaster recovery. The postholder will work closely with the IT Manager, wider IT team and key stakeholders across the organisation, while also supporting projects, change management and technical planning.

The role requires strong technical knowledge across cloud platforms, systems administration, security and infrastructure support, alongside excellent analytical and problem-solving ability. You will need to be confident managing complex environments, improving performance through automation and standardisation, and responding effectively to incidents and vulnerabilities. Success in the role will also depend on your ability to communicate clearly, lead troubleshooting, mentor junior colleagues and take a proactive, security-first approach to continuous improvement.

About you

You will be an experienced cloud infrastructure or lead systems administrator with strong hands-on expertise across Microsoft Azure, Microsoft 365, Windows Server and hybrid environments. We are looking for someone with excellent troubleshooting, automation and security skills, including experience with Entra ID, Intune, networking, backup and disaster recovery, and PowerShell scripting. You will also bring strong leadership, communication and stakeholder management skills, with the ability to mentor others and manage competing priorities. Relevant certifications such as Azure Administrator, Azure Solutions Architect, AWS SysOps, Security+ or ITIL would be advantageous.

Right to Work in the UK

All applicants must have the legal right to work in the United Kingdom at the time of appointment. Proof of right to work will be required as part of the recruitment process. For more information, please visit theUK Government's guidance on right to work. 

Where you do not have current right to work in the UK, then this will be discussed with you as part of the recruitment process. Please note that not all roles are eligible for sponsorship and further information (should you require sponsorship to work in the UK) on eligibility can be foundhere.

Safeguarding

CARE International UK has a zero-tolerance approach to any abuse to, sexual harassment of or exploitation of, a vulnerable adult or child by any of our staff, representatives or partners. CARE International UK expects all staff to share this commitment through our Safeguarding Policy (link here) and our Code of Conduct (link here). They are responsible for ensuring they understand and work within the remit of these policies throughout their time at CARE International UK.

Safeguarding our beneficiaries is our top priority in everything we do, including recruitment. All offers of employment at CARE International UK are subject to:

• Satisfactory references. CARE International UK participates in theInter Agency Misconduct Disclosure Scheme (link here).In line with this Scheme, we willrequest information from successful applicants’ previous employersabout any findings of sexual exploitation, sexual abuse and/or sexual harassment during employment,or incidents under investigationwhen the applicant left employment.

• Appropriate criminal record checks (including a Bridger check, link here).

By submitting an application, the applicant confirms his/her understanding of these recruitment procedures.

Equality and Diversity

We are committed toEquality and value Diversity.We are aDisability Confident Employerand particularly welcome applications from disabled people. We guarantee interviews to disabled applicants who meet the essential criteria for the role (see person specification). If you require the candidate brief or need to submit your application in an alternative format, because of a disability, please do get in touch by sending an email to the HR Team.

We are committed to building a diverse and inclusive workplace where everyone feels valued and respected. We particularly welcome applications from people of underrepresented backgrounds, including those from Black, Asian and other ethnic minority communities, and individuals who identify as LGBTQ+.

Senior Software Engineer (AI/ML)

Remote (UK-based) | Full-time | Flexible working | salary £82,409 + benefits including 4.5-day week and 11% employer pension

Do your best work, for the right reasons.

We're looking for a Senior Software Engineer (AI/ML) to help us build beautifully simple, high-impact digital products that support teachers and improve outcomes for pupils across the UK.

Oak is a fully remote, mission-driven organisation offering high levels of flexibility, autonomy, and purpose. We're a national not-for-profit working in partnership with teachers to create the highest-quality, sequenced curriculum and lesson resources for pupils across all subjects and age groups.

Our culture has been independently recognised through:

• Flexa verified (93% overall score, including 95% for working hours and 97% for role modelling)

• Escape the City's Top 1% Employers – based on anonymous colleague reviews of culture, development, and impact

• Investors in People Gold - through external accreditation and colleague feedback

💡 About the Role

We are looking for an experienced Senior Software Engineer (AI/ML) to join our AI Platform team.

Oak's AI Platform team builds and maintains our core AI infrastructure, including shared services, prompt libraries and reusable pipelines. This is essential in enabling our product squads to deliver safe, effective and scalable AI features that support teachers and pupils across the UK.

You'll take a leading role in shaping Oak's AI Platform, contributing towards the technical direction for reliable, safe and scalable AI capabilities. You'll work with product squads to turn ambiguous problems into robust solutions, provide technical guidance and mentorship to engineers, and help establish the patterns, tooling and standards that enable responsible AI delivery across Oak.

You'll work across the boundary between machine learning and software engineering: taking the same ownership of production reliability, testing and developer experience as other senior engineers on the team, while keeping safety and responsible AI at the centre of what you build.

In this role, you may work on:

• Enhancing Retrieval-Augmented Generation (RAG) pipelines, including context chunking, prompt construction and implementing strategies to improve relevance and accuracy.

• Optimising embedding and vector similarity systems through semantic search, clustering, filtering logic and dimensionality reduction techniques.

• Supporting model evaluation and safety tooling, such as automated test harnesses, hallucination detection, content moderation and input guardrails.

• Contributing to model fine-tuning, prompting and deployment, with a focus on balancing performance, accuracy and cost-effectiveness.

🔧 What You'll Be Doing

• Lead the continuous improvement of Oak's machine learning models and systems, from prototype through to production at scale.

• Develop and maintain highly performant ed-tech applications that are secure, scalable, highly available and accessible to the widest number of users, meeting Government Digital Service standards.

• Be an expert authority within the engineering team on the architecture, code base and AI/ML best practices, providing mentorship to less experienced colleagues.

• Design and coordinate the integration of AI/ML models with existing Oak systems, ensuring robust model serving and end-to-end testing.

• Take responsibility for the operation and reliability of production services you build — monitoring performance, resolving issues, and addressing capacity constraints before they affect users.

• Lead the implementation of new processes or tools that improve the user or developer experience.

• As a member of the Oak team, contribute to the planning and culture of the organisation.

• Work in cross-functional and product-oriented squads with colleagues from across the organisation, as required.

• Deputise for more senior colleagues and take on other general responsibilities as required.

🌱 What We're Looking For

• 5+ years' experience leading the continuous improvement of machine learning models and systems in production, alongside significant experience architecting and building high-performing web applications with modern JavaScript libraries and tools.

• Extensive knowledge of machine learning frameworks and cloud-based machine learning tools, with experience moving models from development to production.

• Understanding of machine learning ethics, fairness frameworks and responsible AI principles, including bias detection and privacy-preserving data practices.

• Experience building evaluation frameworks and automated test harnesses for AI/ML systems from scratch. Including techniques for detecting hallucinations, measuring output quality, and monitoring model performance and safety in production.

• Proven experience proposing and implementing new processes or tools that improve developer experience and lead to higher quality products.

• Experience collaborating with product teams to lead the development of high-quality, high-impact products, with great communication and collaborative skills.

💛 Our Benefits

• 25 days annual leave, plus one extra day for each year of service (up to 28)

• Additional Oak closure days over Christmas/New Year

• 11% employer pension contribution (with no minimum employee contribution)

• A 36-hour working week, with half-days on Fridays or every other Friday off

• Fully remote working — we'll support your home set-up and offer coworking options if preferred

• Twice-yearly in-person offsites to collaborate, connect, and have fun

• A culture that genuinely supports flexibility, autonomy, and trust

🌈 Inclusion and Belonging

We believe diverse teams build better products. We warmly welcome applicants from all backgrounds, particularly those who are underrepresented in the tech and education sectors.

If you're from an underrepresented group, there's a good chance you're discounting yourself before you've even started. That's more common than you'd think, and it means we may miss out on brilliant people. If you're excited by this role but don't meet every requirement, please apply anyway.

We use the Applied platform to help reduce bias in our hiring process. Answers are anonymised and reviewed by a panel of humans.

📌 Key Info

• Location: Remote, but you must be based in the UK with the legal right to work here

• Sponsorship: Unfortunately, we're unable to offer visa sponsorship at this time

• Closing date: We'll be reviewing applications as they come in and may close the role early

If this sounds like the kind of role and team where you could do your life's best work, we'd love to hear from you.

Next steps

You'll answer a few admin questions and some questions related to your day-to-day job. Your answers will go through our sift process: all answers will be anonymised, randomised, and then reviewed by a panel of reviewers (real humans), so it's your thinking that gets assessed, not your CV.

If you're shortlisted, we'll invite you to interview across three stages. We're aiming to start interviews the week beginning 17th August 2026.

Stage 1: An introductory call to learn more about your skills and experience, and a chance for you to ask us about the role. This takes about 30 minutes.

Stage 2: A technical interview over Zoom, combining a hands-on pairing session or technical walk-through, followed by some technical interview questions. This takes around two hours.

Stage 3: A collaboration interview, focused on how you work with both engineering and non-engineering colleagues. This takes about 1 hour.

We love giving feedback, so at the end of the application process, we'll share our assessment of your performance.

We are receiving excellent responses to our job advertisements. This may lead us to close the role early, so if you are considering applying, don't leave it too long to avoid missing out.

We are an equal opportunity employer.

We are committed to a policy of Equal Employment Opportunity and are determined to ensure that no applicant or employee receives less favourable treatment on the grounds of gender, age, disability, religion, belief, sexual orientation, marital status, or race, or is disadvantaged by conditions or requirements which cannot be shown to be justifiable.