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AI Engineer Trading Automation - Manchester

Circle Recruitment
Posted 11 hours ago, valid for 3 days
Location

Manchester, Greater Manchester M17 1DJ, England

Contract type

Full Time

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

Sonic Summary

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  • A growing financial organization in Manchester is seeking an AI Engineer with expertise in AI, Machine Learning, and Python for a new trading automation team.
  • Candidates should have a degree in a relevant field and strong programming skills in Python, C++, or Java, along with experience in AI/ML frameworks like TensorFlow or PyTorch.
  • Experience with high-frequency trading, algorithmic trading, and large-scale financial data is highly desirable for this role.
  • The position offers a starting salary of up to £70,000 plus benefits, and the opportunity to work on innovative AI-driven trading systems.
  • Interested applicants are encouraged to apply by sending their CV or connecting via LinkedIn.

AI Engineer (Trading Automation) - Manchester

AI Engineer, with excellent experience in AI / Machine Learning, Python, statistical modelling and cloud-based systems is required by a growing financial organisation. It is a brand-new role and change to join a new team that has big plans for 2025!

Experience Required:

- A degree (BSc, MSc, or PhD) in Computer Science, Artificial Intelligence, Machine Learning, Finance, or a related field

- Strong programming skills in Python, C++, or Java, with experience in AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-Learn.

- Experience with high-frequency trading (HFT), algorithmic trading, or financial markets is highly desirable.

- Knowledge of time-series analysis, statistical modelling, and data structures

- Experience working with large-scale financial data, SQL, and cloud-based computing platforms.

- Strong problem-solving skills and the ability to work in a fast-paced, data-driven environment

The Role

I am looking for a talented AI Engineer to join a cutting-edge trading automation team in Manchester. This is an exciting opportunity to apply your expertise in artificial intelligence and machine learning to develop and optimise high-performance trading systems.

Key Responsibilities:

- Design, develop, and deploy AI-driven models for algorithmic trading and automation.

- Utilize machine learning, deep learning, and reinforcement learning techniques to enhance trading strategies.

- Work closely with quantitative analysts and software engineers to integrate AI solutions into trading platforms.

- Analyse large financial datasets to identify patterns and optimize decision-making processes.

- Research the latest advancements in AI and apply innovative solutions to improve trading performance.

We want to hear from you if you are passionate about AI, trading automation, and cutting-edge financial technology! Apply today to be part of our pioneering team.

My client is looking to pay a starting salary of up to £70,000 + Benefits. To apply press apply now, or send your CV to matthew.leach @ circlerecruitment.com

Feel free to add me on LinkedIn or call me on

Circle Recruitment is acting as an Employment Agency in relation to this vacancy. Earn yourself a referral bonus if you refer somebody else who fills the role! We also offer an iPad if you refer a new client to us and we recruit for them. Follow us on Facebook - Circle Recruitment , Twitter - @Circle_Rec and LinkedIn - Circle Recruitment.

Apply now in a few quick clicks

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.