Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Software Engineer

Akrivia Health
Oxford
1 year ago
Applications closed

Related Jobs

View all jobs

Software Engineer - Graph Data Science

Software Engineer - (Machine Learning Experience a plus) - hybrid

Software Engineer, Machine Learning

Software Engineer II, Applied Machine Learning

Software Engineer - Machine Learning

Senior Software Engineer, Machine Learning Services (MLS)

We are seeking a highly skilled Python Developer to join our dynamic team. This role is crucial for driving the development of robust, scalable, and high-performance applications. 


Key Responsibilities: 


Software Development: 

  • Design, develop, and maintain high-quality Python applications. 
  • Write clean, maintainable, and efficient code following best practices. 
  • Collaborate with cross-functional teams to define, design, and ship new features. 


Collaboration and Communication:

  • Work closely with product managers, designers, and other stakeholders to deliver high-quality software solutions. 
  • Participate in agile development processes, contributing to sprint planning, stand-ups, and retrospectives. 


Requirements 

  • 3+ years of professional experience in Python development. 
  • Expertise in Python and its frameworks (e.g., Django, Flask). 
  • Experience in a Linux environment. 
  • Strong understanding of software architecture principles and design patterns. 
  • Proficiency with relational databases (e.g., PostgreSQL). 
  • Experience with cloud services (AWS). 
  • Familiarity with DevOps practices and tools (e.g., Docker, Kubernetes, CI/CD pipelines). 
  • Excellent problem-solving skills and attention to detail. 
  • Strong communication and interpersonal skills. 
  • Ability to work collaboratively in a team environment. 
  • Any Rust experience advantageous although training can be given where required. 
  • Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field would be beneficial. 

 


WE OFFER: 

• 25 days of annual leave plus bank holidays. 

• 3 additional days of annual leave after 3 years of employment. 

• Health insurance plan including 24/7 virtual GP, mental health support, money towards dental treatment, sight tests (plus additional plan for dependents), and health/wellbeing discounts (including gym membership). 

• 6% company contributory pension. 

• Secondary office location in London (Soho), available for 50% of in-office working time. 

• Fresh fruit and drinks in the office. 

 

WHO WE ARE: 

Akrivia Health are global leaders in the application of real-world data & evidence for mental health and dementias, providing valuable insights for research. We have privileged access to one of the largest and richest repositories of psychiatric electronic health record data in the world. We curate this database on behalf of a network of NHS mental healthcare organisations, providing a free secure data service to support research and care improvement in the NHS. With support from our NHS partners, we further anonymise this database for access by third parties, including academia, industry, charities and government organisations. This activity provides a source of sustainable revenue to support our NHS service offer, and brings the immense potential of EHR data to the global mental health and dementia research community. 

 

As part of our data curation service, we apply a bespoke AI-based natural language processing pipeline to structure the wealth of research-relevant data (on medications, diagnoses, symptoms, life events, social stressors, functional outcomes etc) held in free text EHR fields (e.g., clinical notes, referral letters). This creates a uniquely rich representation of patient care and condition states – one which captures the full heterogeneity and bio-psycho-social complexity of mental illness and dementia. With the unique breadth and depth of our real-world data asset, we enable our clients and collaborators to accelerate clinical trials and to identify, develop and deliver effective new drugs, devices and services to patients and caregivers. We are beginning to enrich our clinical data with biosamples through GlobalMinds - our Precision Neuroscience initiative which aims to improve understanding of the biological basis of mental health disorders and dementia to 

alleviate the burden in one of the world’s most pressing unmet medical needs. Akrivia Health is committed to equal employment opportunities regardless of age, sexual orientation, gender, pregnancy, religion, nationality, ethnic origin, disability, medical history, skin colour, marital status, genetic information or parental status.  

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.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.