6 of 6 Algorithms Jobs in Cheltenham

hours/week, with flexibility up to 40 hours/week Role Responsibilities Review and refine AI-generated prompts, responses, and code. Validate algorithms and software concepts for technical accuracy. Provide structured feedback on solution quality and clarity. Tag and organize content by topic, difficulty, or language. Support benchmarking efforts ...

What You'll Be Doing Lead technical project delivery and shape data science strategy across multiple client engagements Define and implement bespoke machine learning algorithms to solve real-world defence problems Guide technical scoping and planning, working closely with stakeholders to ensure feasibility and impact Mentor and support other data ...

large cross-company efforts Suggest, collect and synthesize requirements and create an effective feature and technology roadmap Minimum Qualifications: Experience developing machine learning algorithms or machine learning infrastructure in Python, PyTorch, and/or C/C++ Bachelor in Artificial Intelligence (AI), computer science, related technical fields, or equivalent practical ...

warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures. Development of processing and analysis algorithms fit for the intended data complexity and volumes. Collaboration with data scientist to build and deploy machine learning models. ...

Job Opportunity: Senior C# Quantitative Developer | Capital Markets Technology Location: London Type: Full-time/Contract Rate: £800 p/d (Outside IR35) Client: Leading Global Investment Bank Hybrid: 1 day per week in the ...

will be expected to: Conduct exploratory data analysis to identify trends, patterns, and relationships in large datasets. Develop predictive models and machine learning algorithms to optimise business processes, improve customer experience, and drive revenue growth. Collaborate with stakeholders to define project objectives, requirements, and success criteria. Clean, transform, and preprocess … Strong knowledge of statistical concepts and techniques, such as hypothesis testing, regression analysis, time series analysis, and clustering. A deep understanding of machine learning algorithms, including supervised and unsupervised learning techniques and their applications to real-world problems. Hands-on experience with machine learning frameworks and libraries (e.g. Pytorch, TensorFlow ...