Digital communication manager jobs in Leicester

Money and Benefits Adviser

We are looking for a dedicated and experienced Generalist Adviser working as a Money and Benefits Caseworker.

This is an exciting opportunity to provide specialist welfare benefits advice and casework to people affected by cancer, helping them navigate financial challenges and access the support they are entitled to. Working as part of a compassionate and professional team, you will play a vital role in reducing financial hardship and improving wellbeing for clients at some of the most difficult times in their lives.

We welcome and encourage applications from people of all backgrounds as the organisation is proud to be a Disability Confident Employer and holds the Derbyshire LGBT+ Rainbow Accreditation

Position: Generalist Adviser

Location: Derbyshire (Remote working with travel to healthcare and community settings and quarterly meeting in the local office)

Salary: £29,806.00 per annum, pro rata

Hours: Full-Time (37 hours per week) Contract: Permanent

Closing Date: 21st August 2026

About the Role

We're looking for highly motivated and committed individuals to provide specialist advice and representation on welfare benefits, grants and financial support, managing a caseload that includes complex cases, mandatory reconsiderations and appeals. The Money & More Benefits Caseworker supports clients across all stages of the cancer pathway, including diagnosis, treatment, palliative care and end-of-life support. You will deliver advice through a range of channels including telephone, email, digital platforms and face-to-face appointments within healthcare and community settings.

Key duties include:

· Deliver specialist welfare benefits advice and casework.

· Manage a varied caseload, including complex benefit appeals and tribunal work.

· Support clients to maximise income through benefits, grants and other financial assistance.

· Advocate and negotiate on behalf of clients with third parties.

· Work collaboratively with healthcare professionals, community organisations and partner agencies.

· Maintain accurate case records and meet quality assurance standards.

· Contribute to service development, research and campaigns work.

About You

The ideal candidates will have:

· Significant experience providing welfare benefits advice and casework, including Mandatory Reconsiderations and Appeals

· A strong understanding of welfare benefits legislation and financial support available to vulnerable clients

· Experience supporting vulnerable people using a person-centred and empathetic approach

· Experience managing a caseload and achieving targets and deadlines

· A commitment to equality, diversity and inclusion

· Excellent communication skills both written and verbal

· A non-judgemental, empathetic approach to people

· Strong IT and digital skills, with the ability to learn new systems quickly

Successful candidates will be required to undertake an Enhanced Disclosure and Barring Service (DBS) check and provide proof of Right to Work.

About the Organisation

Join a local charity that provides free, confidential, independent and impartial advice to everyone across Amber Valley, Chesterfield, Derbyshire Dales, Erewash and High Peak.

This advice can help people find a way forward with their problems, whoever they are, whatever the problem.

What is on offer:

The charity offers a comprehensive benefits package that supports your wellbeing, work-life balance, and professional growth:

· Generous annual leave: 35 days per year (pro rata), including all bank holidays and Christmas

· Buy/sell leave scheme: Flexibility to buy or sell up to one week of leave each year (pro rata)

· Employee Assistance Programme: Includes wellbeing support, free counselling, and lifestyle perks

· Contractual sick pay: depended on length of service

· Long service rewards: Extra leave and gift cards after five years of service and beyond

· Workplace pension: Auto-enrolment into our pension scheme

· Hybrid working: the option to work from home, if it works for you and for the team

Successful candidates will be required to undertake a Disclosure and Barring Service (DBS) check and provide proof of Right to Work. Please note that the organisation does not hold a sponsor licence.

Other roles you may have experience of include Money and Benefits Adviser, Money Advisor, Benefits Advisor, Housing Advisor, Cancer Support, Cancer Advice and Support.

Please note this role is advertised by the recruitment agency acting for the client, Not For Profit People. #INDNFP

Remote (Surrey and surrounding areas) | 18 – 24 hours

£27,500 pro rata | Flexible working | Real impact

Are you kind, caring and professional – the sort of person who listens deeply, holds space for others, and wants to make a real difference?

At Jigsaw South East, we support children and young people who are facing or coping with the death of a loved one. We’re looking for a compassionate and confident Grief Support Worker to join our small, dedicated team.

In this role, you’ll:

• Support families one-to-one and in groups, both pre- and post-bereavement
• Hold meaningful (and sometimes tough) conversations with warmth and sensitivity
• Help children feel less alone in their grief, and families feel more connected
• Contribute to our PIECES group programme, helpline, and referral process

This isn’t just a job, it’s a chance to walk alongside people at one of the hardest points in their lives and offer light, steadiness and support.

We’re looking for someone who brings:

• A warm, person-centred approach
• Experience working with children and families
• Emotional resilience and a strong sense of purpose
• The ability to travel across Surrey and attend some evening/weekend sessions

We offer:

• Flexible working
• TOIL and supervision
• Ongoing training and personal growth
• A supportive, values-led team who genuinely care

If you believe in the power of kindness and want to help children feel seen, safe and supported, we’d love to hear from you.

View our recruitment pack for more information including a full job description and person specification:

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.