4 joburi disponibile

Senior Machine Learning & MLOps Engineer £110,000-£120,000 + up to 10% bonus MLOps, Python, Terraform London, one day a week in office UK tech unicorn We are partnered with one of the UK's most profitable and exciting Insurtech companies who have reached a valuation of over $1BN. This will be their first ML/MLOps Engineering hire and they someone to come in and set everything up in this area, so whilst they are an established business with a strong tech function and engineering culture, this particular project is super greenfield. You will drive innovation by optimising and automating Pricing processes to enable faster, more accurate decision-making. Your work will focus on developing and maintaining tooling and frameworks that enhance the efficiency of our predictive models, reducing deployment times, increasing scalability, and improving model performance through regular updates and monitoring. You will work closely with the Data Scientists, Actuaries, and Product team to deliver scalable, production-grade ML systems. What they are looking for Model life cycle: You've got hands-on experience with managing the ML model life cycle, including both online and batch processes. Statistical Methodology: You have worked with GLMs and other machine learning algorithms and have in-depth knowledge of how they work. Python: You have built and deployed production-grade Python applications and you are familiar with data science libraries such as pandas and scikit-learn . DevOps: You have experience working with DevOps tooling, such as Kubernetes, Terraform, CI/CD tools and Docker. Cloud: You have worked with cloud-based environments before (they use AWS). SQL: You have a good grasp of SQL, particularly with cloud data warehouses like Snowflake. Version control: You are proficient with git. If you are interested in finding out more, please apply or contact me directly! (see below) Senior Machine Learning & MLOps Engineer £110,000-£120,000 + up to 10% bonus MLOps, Python, Terraform London, one day a week in office UK tech unicorn Burns Sheehan Ltd will consider applications based only on skills and ability and will not discriminate on any grounds.

Trade Monitoring Data Scientist/Analyst vacancy for globally operating Zürich based company in the Banking sector . Your tasks: Review existing trade surveillance scenarios to identify areas for improvement, updates, or refinement Write scripts and perform statistical analysis to identify patterns and optimal threshold settings. Analyze and visualize data to support scenario re-calibration decisions Identify opportunities to improve the efficiency and effectiveness of the scenario re-calibration process, recommending changes as needed Project: Re-Calibration of Trade Surveillance Scenarios Your experience/knowledge: 3+ years of experience in data analytics or data science Must have Banking experience with focus on Non-Financial risk - Compliance, Risk Management and Legal, preferably experience in the area of Trade Surveillance Proficient in programming (Python, SQL) Experience in project management or business analysis Language skills: English Your soft skills: Excellent comprehension skills with attention to detail A high degree of self-organisation and time management Analytical and solution-orientated thinking Location: Zürich, Switzerland Work setting: Hybrid Sector: Banking Start: 06/2025 Duration: 6 months Workload: 100% Ref .Nr.: BH 23105 Take the next step and send us your resume along with a daytime phone number where we can reach you. Due to Swiss work permit restrictions, we can only consider applications from Swiss nationals, EU citizens as well as current work-permit holders for Switzerland. Ukrainian refugees are warmly welcomed, we will support you all the way. We welcome applications from individuals of all genders, age groups, sexual orientations, personal expressions, ethnic backgrounds, and religious beliefs. Therefore, there is no requirement to provide gender information or a photo in your application. As per client requirements, we need information about your marital status, nationality, date of birth, and a valid Swiss work permit. For applicants with disabilities, we are happy to explore potential solutions with our end client.

Skilled Machine Learning Engineer with strong experience in AWS cloud services, and proven ability in integration and development of ML solutions. The ideal candidate will collaborate closely with data scientists, developers, and DevOps teams to design, deploy, and maintain scalable machine learning systems in production. Key Responsibilities: Design, develop, and deploy machine learning models in production environments using AWS services (eg, SageMaker, Lambda, EC2, S3, EKS, etc.). Build scalable data pipelines for training and inference using AWS Glue, Step Functions, and other ETL tools. Integrate ML models into existing systems and APIs, ensuring seamless operation across multiple services and platforms. Collaborate with cross-functional teams to gather requirements and implement ML solutions aligned with business goals. Optimize and monitor deployed models for performance, latency, and cost-effectiveness using tools such as CloudWatch, CloudTrail, and Prometheus. Write clean, maintainable code in Python (and optionally Java/Scala) following best software engineering practices. Automate model training, validation, and deployment workflows using CI/CD pipelines (eg, CodePipeline, Jenkins, GitHub Actions). Ensure security and compliance in data handling and model deployment within the AWS ecosystem. Document ML workflows, APIs, and integration points to support scalability and future maintenance. Stay up to date with the latest developments in ML, cloud services, and integration technologies, and proactively suggest improvements Note: Hybrid role

Trade Surveillance Data Scientist/Analyst vacancy for globally operating Zürich based company in the Banking sector . Your tasks: Review existing trade surveillance scenarios to identify areas for improvement, updates, or refinement Write scripts and perform statistical analysis to identify patterns and optimal threshold settings. Analyze and visualize data to support scenario re-calibration decisions Identify opportunities to improve the efficiency and effectiveness of the scenario re-calibration process, recommending changes as needed Project: Re-Calibration of Trade Surveillance Scenarios Your experience/knowledge: 3+ years of experience in data analytics or data science Banking experience with focus on Non-Financial risk - Compliance, Risk Management and Legal, preferably experience in the area of Trade Surveillance Proficient in programming (Python, SQL) Experience in project management or business analysis Language skills: English Your soft skills: Excellent comprehension skills with attention to detail A high degree of self-organisation and time management Analytical and solution-orientated thinking Location: Zürich, Switzerland Work setting: Hybrid Sector: Banking Start: 06/2025 Duration: 6 months Workload: 100% Ref .Nr.: BH 23105 Take the next step and send us your resume along with a daytime phone number where we can reach you. Due to Swiss work permit restrictions, we can only consider applications from Swiss nationals, EU citizens as well as current work-permit holders for Switzerland. Ukrainian refugees are warmly welcomed, we will support you all the way. We welcome applications from individuals of all genders, age groups, sexual orientations, personal expressions, ethnic backgrounds, and religious beliefs. Therefore, there is no requirement to provide gender information or a photo in your application. As per client requirements, we need information about your marital status, nationality, date of birth, and a valid Swiss work permit. For applicants with disabilities, we are happy to explore potential solutions with our end client.