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

Apply Now

Python Developer and Machine Learning Specialist: Visa Sponsorship Available

Techwaka
Perth
6 days ago
Applications closed

Related Jobs

View all jobs

Lead Research Data Scientist | Fraud Detection in Market Research

Lead Research Data Scientist | Fraud Detection in Market Research

Senior Data Engineer

Machine Learning Engineer (Large Systems)

Machine Learning Engineer (Large Systems)

Senior Pricing Data Scientist

Python Developer and Machine Learning Specialist: Visa Sponsorship Available

Join us at the cutting edge of financial and retail market innovations. Our firm specializes in developing sophisticated trading and retail bots, leveraging the latest in machine learning and algorithmic trading to outpace competition in forex and cryptocurrency markets. With a commitment to technological excellence and innovation, we offer a dynamic workspace where creativity and strategic thinking are at the core of our operations.

Job Description:
We are seeking a highly skilled Python Developer with expertise in Machine Learning to spearhead our bot development projects. This role involves creating advanced trading bots, sniping bots, sneaker bots, and marketing bots, as well as developing and implementing trading strategies for forex and cryptocurrency markets. The ideal candidate will have a robust understanding of trading logic automation and the technical proficiency to develop solutions that navigate market complexities with precision and efficiency.

Responsibilities:

  • Design, develop, and maintain bots for trading, sniping, sneaker purchasing, and digital marketing, focusing on forex and cryptocurrency markets.
  • Integrate and utilize APIs from major trading and cryptocurrency platforms (e.g., TWS API Interactive Brokers, Binance, Huobi, OKEx).
  • Develop market-making algorithms, order routing systems, and liquidity management tools to enhance trading efficiency and profitability.
  • Employ machine learning techniques for predictive modeling and algorithmic trading strategies, including low latency and news trading, arbitrage, and spread trading.
  • Work with technical analysis tools and automation to support trading decision-making processes.
  • Collaborate with a global team to innovate and implement cutting-edge trading and retail solutions.
  • Ensure the reliability, performance, and security of all developed systems.

Skills and Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.
  • Proficient in Python with a strong background in machine learning and algorithm development.
  • Experience with trading platforms and APIs (e.g., MT4, MT5, MQL4, MQL5, TWS API).
  • Familiarity with Crypto API integration (e.g., Binance, Huobi, OKEx) and a deep understanding of the cryptocurrency market mechanisms.
  • Strong knowledge of financial markets, trading strategies, and technical analysis.
  • Experience in developing low latency trading systems and understanding of order book dynamics.
  • Excellent problem-solving skills and ability to work in a fast-paced environment.
  • Competitive salary and benefits package.
  • Visa sponsorship available for qualified international candidates.
  • Opportunity to work in a dynamic, innovative environment with a talented global team.
  • Access to the latest technologies and tools in the field of algorithmic trading.
  • Professional development opportunities in a growing company.

Interested candidates should submit their resume, cover letter, and any relevant work samples or portfolios through our career portal. Your cover letter should highlight your experience with bot development, machine learning applications in trading, and any specific achievements in the forex and cryptocurrency markets.

We are committed to fostering a diverse and inclusive workplace and strongly encourage talents from around the globe to apply. Visa sponsorship available for outstanding candidates looking to relocate to the UK.

Upload CV/Resume * Allowed Type(s): .pdf, .doc, .docx

By using this form you agree with the storage and handling of your data by this website. *


#J-18808-Ljbffr

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.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.

Why the UK Could Be the World’s Next Machine Learning Jobs Hub

Machine learning (ML) is becoming essential to industries across the globe—from finance and healthcare to retail, logistics, defence, and the public sector. Its ability to uncover patterns in data, make predictions, drive automation, and increase operational efficiency has made it one of the most in-demand skill sets in the technology world. In the UK, machine learning roles—from engineers to researchers, product managers to analysts—are increasingly central to innovation. Universities are expanding ML programmes, enterprises are scaling ML deployments, and startups are offering applied ML solutions. All signs point toward a surging need for professionals skilled in modelling, algorithms, data pipelines, and AI systems. This article explores why the United Kingdom is exceptionally well positioned to become a global machine learning jobs hub. It examines the current landscape, strengths, career paths, sector-specific demand, challenges, and what must happen for this vision to become reality.