Python Developer / ML Engineer
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Position Overview & Specifications
About Midas.
At Midas, we are using AI to reinventing the way financial research and analysis is conducted. Our mission is to empower analysts and investors with advanced tools and insights to make informed decisions. We are building an AI platform designed to simplify the research and analysis of qualitative financial data, making it easier for analysts to extract valuable insights from complex financial documents.
We are currently seeking talented individuals to join our team at the earliest stages, work closely with the co-founding team, and make a big impact on our growth and success. Join our dynamic team and be part of reshaping the future of the finance industry!
Application Process
- How to apply: Please attach your CV (cover letter optional) and someone from our team will be in touch. Please list your preferred start date and salary range.
- Time: We appreciate your time. Going through all stages can be done within 1-2 weeks. Once done, we will send a formal offer.
- Confidentiality: All our applications are treated confidentially.
About the role.
We are an early-stage startup looking for a Python developer with GPT experience to come in and take ownership of our AI platform. As one of our first hires, you will play an integral part in shaping the future of the product and the company.
This is a full-time or part-time role based in London. Our team is mostly distributed, but we meet frequently in the city. Compensation based on experience.
Responsibilities.
- Participate in the full software development life cycle, including requirements gathering, design, coding, testing, and deployment.
- Develop high-quality, scalable, and efficient code.
- Collaborate with product managers, designers, and other developers to define and implement new features and enhancements.
- Troubleshoot and debug issues, conduct code reviews, and provide technical guidance to junior team members.
- Stay up-to-date with industry trends and emerging technologies to continuously improve the platform.
Requirements.
- Excellent knowledge of Python.
- Experienced with developing and implementing server-side logic, managing databases, and integrating with external APIs.
- Experienced with designing and implementing APIs.
- Strong experience with GPT and NLP technologies, including hands-on experience with OpenAI's GPT models.
- Good communication and teamwork abilities.
Nice to Have.
- Experience in the financial industry or working on financial software.
- Familiarity with cloud platforms, such as AWS or Azure.
- Familiarity with other AI and machine learning technologies.
- Bachelor's degree in Computer Science, AI, or a related field (or equivalent experience).
Job Types: Full-time, Part-time
Salary: £40,000.00-£100,000.00 per year
Benefits:
- Work from home
Application question(s):
- What is your expect salary range?
- What is your earliest start date?
- Are you looking for a full-time or part-time position?
Work Location: Remote
Candidate Selection & Onboarding Process
Application & Resume Screening
Submit your tailored CV/Resume directly to the talent acquisition portal.
Technical & Competency Interviews
Virtual interviews with the hiring manager and multidisciplinary team.
Formal Offer & Benefits Negotiation
Written agreement outlining compensation, equity, retirement vesting, and relocation allowances.
Onboarding & Corporate Integration
Equipment provisioning, team orientation, and commencement of duties.
United Kingdom Right to Work & Skilled Worker Visa Guide
Employment in the United Kingdom requires legal Right to Work verified under the Home Office Points-Based Immigration System:
Sponsoring employers must hold an active Home Office A-rated Sponsor License and assign a valid Certificate of Sponsorship (CoS). Role must meet the general minimum salary threshold (£38,700) or occupation going rate.
Continuous employment under Skilled Worker status establishes eligibility for Indefinite Leave to Remain (ILR) after 5 continuous years, leading to British Citizenship.
Candidate Preparation Blueprint: General
Based on transatlantic hiring benchmarks for Python Developer / ML Engineer roles across Midas AI Ltd's corporate sector, successful applicants typically excel across three core dimensions:
Demonstrated portfolio evidence, architecture/system design case studies, or validated professional certifications directly applicable to General.
STAR method competency responses highlighting cross-functional leadership, conflict resolution, and delivering measurable enterprise ROI under tight timelines.
Total compensation expectation aligned within the benchmarked £40,000 - £100,000 bracket, including retirement vesting and health parity.
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