Care Assistant

Cera Care
London
9 months ago
Applications closed

Related Jobs

View all jobs

Research Assistant in Medical Data Science

Hybrid Medical Data Science Research Assistant

Sr. Data Scientist

Senior Data Scientist

Senior AI Data Scientist

Data Scientist - Pricing

Join Cera as a Care Assistant in Hammersmith. You'll be supporting us on our mission to transform social care and enable more people to live longer, healthier and happier lives in their own homes.

Are you kind? A people person? Love making a difference in people's lives? Then we can offer you the perfect role as a Carer, where you will genuinely make a difference, every day! No experience is required.

We're recruiting part-time and full-time care assistants to support our clients at home. We have work available in Shepherds Bush, West Kensington, Barons Court, Goldhawk Road and surrounding areas.

We have a flexible approach for shifts including mornings, days, evenings and nights - you'll usually have every other weekend off for work-life balance. Working hours available are mornings, 7am - 3pm and evenings, 3pm - 10pm, including alternate weekends.

Our benefits include:

  • Enhanced bank holiday rate
  • Holiday pay and pension scheme
  • Free DBS/PVG, company mobile phone and uniform provided
  • Access to our benefits & discounts platform WeCare, alongside being eligible for the Blue Light Card Scheme - offering you thousands of discounts on high street shopping, your weekly food shop, eating out and family activities.
  • Exclusive discounts to help you get on the road including savings on driving lessons, fuel, car insurance, car maintenance, cycle hire and much more
  • Enhanced maternity (12 weeks full pay), paternity and parental leave policies
  • An industry-leading career development pathway, including the Care Certificate and NVQ's, there is plenty of opportunity for progression - 50% of our salaried roles are filled internally.
  • Wellbeing support - including employee assistance programme, mental health first aiders, healthcare cash plan and free eye tests & contribution to the cost of glasses.
  • Extra earnings through our referral scheme Care Friends - £500 per referral


Join Our Caring Community

Whether you already have previous professional experience, you've cared for a loved one or you simply enjoy supporting others, your compassion, patience, and understanding are exactly what we need. It's your values and kindness that matter most and we will provide all the training you need.

Your responsibilities may include assisting with personal care including continence support, washing and dressing, managing medications, cooking or preparing hot meals, and helping with domestic tasks. But your true impact lies in the companionship, reassurance, and joy you bring to the lives of those you care for.

Cera makes caring easier with Cera Tech

We've brought homecare into the 21st century, by developing technology that streamlines administrative tasks, enhances outcomes, and allows you to focus on the most important part of your role - caring for our clients. Our predictive technology and risk alerts empower our care teams to make informed decisions and act quickly, resulting in fewer hospitalisations and reduced fall risks for those we care for. You really can care better as a member of our team.

If you are looking for a truly rewarding role, where the companionship and comfort you provide will bring smiles and a sense of safety to those you care for - then apply today!

Please note this role is subject to a DBS check and you must have the right to work in the UK. We are an equal-opportunity employer, celebrating diversity and fostering an inclusive environment for all employees.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.