Axiom Recruit | Senior Python Engineer - API Development - Blockchain - UK / EU - Remote

Axiom Recruit
Manchester
1 year ago
Applications closed

Senior Python Engineer - API


Axiom are hiring for a standout platform to the Blokchain markets, seeking to bring on a talented Python Engineer to lead the API development across their products.


This key role will play a pivotal role in shaping the overall feel and user experience of this exciting and innovative platform.


Fully remote role, based in EU or UK.



Duties & Responsibilities

Working as a lead within the tech team, you will drive development and architectural decisions across a range of blockchain-oriented SaaS platforms.

  • Guide Python projects, API design, and big data solutions.
  • Create scalable Python apps and enhance existing systems with modern tech.
  • Collaborate with teams to deliver practical, high-impact solutions.
  • Support junior engineers and ensure clean, quality code.
  • Prepare technical docs and uphold strong architectural practices.



Requirements:

  • 8+ years in Python development, including API design, optimization, and digital transformation projects.
  • Proficient in PostgreSQL, data warehouses (e.g., Clickhouse, Snowflake), and deploying complex apps on cloud platforms like Kubernetes.
  • Skilled in tackling challenges like job scheduling, concurrency, and scaling while optimizing performance, compute, and memory.
  • Excellent interpersonal skills for working with cross-functional teams and stakeholders.
  • Deep understanding of design patterns, architectural styles, and building robust, scalable technical foundations.



Would be a plus:

  • Skilled in building and maintaining large-scale or real-time data pipelines using tools like Kafka, Hadoop, Hive, and Storm.
  • Background in compliance within finance or crypto, with knowledge of blockchain technologies.
  • Familiar with GoLang, Rust, Terraform, GraphQL, and analytics tools for data visualization and decision-making.
  • Contributed to open-source projects, StackOverflow, and experience with incident management.



The Reward:

  • Fully remote work environment with flexible hours across Europe.
  • Opportunity to work on cutting-edge technology in the blockchain, AI and data intelligence space
  • Competitive salary and bonus schemes
  • Be part of a dynamic, innovative team that values collaboration and continuous learning.

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.

Education Jobs

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

Machine learning job adverts in the UK love vague phrases like “strong maths” or “solid fundamentals”. That can make the whole field feel gatekept especially if you are a career changer or a student who has not touched maths since A level. Here is the practical truth. For most roles on MachineLearningJobs.co.uk such as Machine Learning Engineer, Applied Scientist, Data Scientist, NLP Engineer, Computer Vision Engineer or MLOps Engineer with modelling responsibilities the maths you actually use is concentrated in four areas: Linear algebra essentials (vectors, matrices, projections, PCA intuition) Probability & statistics (uncertainty, metrics, sampling, base rates) Calculus essentials (derivatives, chain rule, gradients, backprop intuition) Basic optimisation (loss functions, gradient descent, regularisation, tuning) If you can do those four things well you can build models, debug training, evaluate properly, explain trade-offs & sound credible in interviews. This guide gives you a clear scope plus a six-week learning plan, portfolio projects & resources so you can learn with momentum rather than drowning in theory.

Jobs

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

Jobs

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.