Proactive.IT Appointments Limited

11328SR5 £40k - 60k per year Machine Learning Operations Engineer Our financial services client based in London is looking to recruit a Machine Learning Operations Engineer ASAP. The position will be a Hybrid role be working from home and their offices in London. To be considered for the role you must have the following essential skills & experience: Key Skills & Experience Model development: Work collaboratively with actuarial analysts to develop machine learning and statistical models to predict outcomes, related to pension schemes, such as life expectancy, default risk, or investment returns. Identify appropriate machine learning algorithms and apply them to enhance predictions, automate decision making processes, and improve client offerings. Machine Learning Operations: Responsible for designing, deploying, maintaining and refining statistical and machine learning models using Azure ML. Optimize model performance and computational efficiency. Ensure that applications run smoothly and handle large scale data efficiently. Implement and maintain monitoring of model drifts, data quality alerts, scheduled re training pipelines. Data Management and Preprocessing: Collect, clean and preprocess large datasets to facilitate analysis and model training. Implement data pipelines and ETL processes to ensure data availability and quality. Software Development: Write clean, efficient and scalable code in Python. Utilize CI/CD practices for version control, testing and code review. Work closely with actuarial analysts, actuarial modelling team (AMT) and other colleagues in the company to integrate data science findings into practical advice and strategies. Stay abreast of new trends and technologies in Data Science technologies and pensions to identify opportunities for innovation. Provide training and support to other team members on using machine learning tools and understanding analytical techniques. Interpret and explain machine learning concepts and findings to other members of the analytics team and non technical stakeholders within the company. Technical Skills required Previous experience in designing, building, optimising, deploying and managing business critical machine learning models using Azure ML in Production environments. Experience in data wrangling using Python, SQL and ADF. Experience in CI/CD and DevOps/MLOps and version control. Familiarity with data visualization and reporting tools, ideally PowerBI. Good written and verbal communication and interpersonal skills. Ability to convey technical concepts to non technical stakeholders. Experience in the pensions or similar regulated financial services industry is highly desirable. Experience in working within a multidisciplinary team would be beneficial Benefits We offer an attractive reward package; typical benefits can include: Competitive salary Participation in Discretionary Bonus Scheme A set of core benefits including Pension Plan, Life Assurance cover and employee assistance programme, 25 days holiday and access to a qualified, practising GP 24 hours a day/365 days a year Flexible Benefits Scheme to support you in and out of work, helping you look after you and your family covering Security & Protection, Health & Wellbeing, Lifestyle Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable for interview will be contacted. Proactive Appointments Limited operates as an employment agency and employment business and is an equal opportunities organisation We take our obligations to protect your personal data very seriously. Any information provided to us will be processed as detailed in our Privacy Notice, a copy of which can be found on our website

A recruitment agency is seeking an experienced Data Services Team Lead to join a leading company in Epsom. This hybrid role requires significant experience in Data Engineering and team leadership. Responsibilities include managing projects and leading a team. The position offers an attractive benefits package, including a competitive salary, flexible hours, and access to excellent office amenities and health coverage.

11328SR2 £40k - 60k per year Machine Learning Operations Engineer Our financial services client based in London is looking to recruit a Machine Learning Operations Engineer ASAP. The position will be a hybrid role, working from home and their offices in London. To be considered for the role you must have the following essential skills & experience: Key Skills & Experience Model development: Work collaboratively with actuarial analysts to develop machine learning and statistical models to predict outcomes related to pension schemes, such as life expectancy, default risk, or investment returns. Identify appropriate machine learning algorithms and apply them to enhance predictions, automate decision making processes, and improve client offerings. Machine Learning Operations: Responsible for designing, deploying, maintaining and refining statistical and machine learning models using Azure ML. Optimize model performance and computational efficiency. Ensure that applications run smoothly and handle large scale data efficiently. Implement and maintain monitoring of model drifts, data quality alerts, and scheduled retraining pipelines. Data Management and Preprocessing: Collect, clean and preprocess large datasets to facilitate analysis and model training. Implement data pipelines and ETL processes to ensure data availability and quality. Software Development: Write clean, efficient and scalable code in Python. Utilize CI/CD practices for version control, testing and code review. Work closely with actuarial analysts, actuarial modelling team (AMT) and other colleagues in the company to integrate data science findings into practical advice and strategies. Stay abreast of new trends and technologies in Data Science and pensions to identify opportunities for innovation. Provide training and support to other team members on using machine learning tools and understanding analytical techniques. Interpret and explain machine learning concepts and findings to other members of the analytics team and non technical stakeholders within the company. Technical Skills required Previous experience in designing, building, optimising, deploying and managing business critical machine learning models using Azure ML in production environments. Experience in data wrangling using Python, SQL and ADF. Experience in CI/CD, DevOps/MLOps and version control. Familiarity with data visualization and reporting tools, ideally PowerBI. Good written and verbal communication and interpersonal skills. Ability to convey technical concepts to non technical stakeholders. Experience in the pensions or similar regulated financial services industry is highly desirable. Experience in working within a multidisciplinary team would be beneficial. Benefits We offer an attractive reward package; typical benefits can include: Competitive salary Participation in discretionary bonus scheme A set of core benefits including pension plan, life assurance cover and employee assistance programme, 25 days holiday and access to a qualified, practising GP 24 hours a day/365 days a year Flexible benefits scheme to support you in and out of work, helping you look after you and your family covering security & protection, health & wellbeing, lifestyle Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable for interview will be contacted. Proactive Appointments Limited operates as an employment agency and employment business and is an equal opportunities organisation. We take our obligations to protect your personal data very seriously. Any information provided to us will be processed as detailed in our Privacy Notice, a copy of which can be found on our website

11328SR3 £40k - 60k per year Machine Learning Operations Engineer Our financial services client based in London is looking to recruit a Machine Learning Operations Engineer ASAP. The position will be a Hybrid role, working from home and in their offices in London. To be considered for the role you must have the following essential skills & experience: Key Skills & Experience Model development: Work collaboratively with actuarial analysts to develop machine learning and statistical models to predict outcomes related to pension schemes, such as life expectancy, default risk, or investment returns. Identify appropriate machine learning algorithms and apply them to enhance predictions, automate decision making processes, and improve client offerings. Machine Learning Operations: Responsible for designing, deploying, maintaining and refining statistical and machine learning models using Azure ML. Optimize model performance and computational efficiency. Ensure that applications run smoothly and handle large scale data efficiently. Implement and maintain monitoring of model drifts, data quality alerts, and scheduled re training pipelines. Data Management and Preprocessing: Collect, clean and preprocess large datasets to facilitate analysis and model training. Implement data pipelines and ETL processes to ensure data availability and quality. Software Development: Write clean, efficient and scalable code in Python. Utilize CI/CD practices for version control, testing and code review. Work closely with actuarial analysts, the actuarial modelling team (AMT) and other colleagues in the company to integrate data science findings into practical advice and strategies. Stay abreast of new trends and technologies in data science and pensions to identify opportunities for innovation. Provide training and support to other team members on using machine learning tools and understanding analytical techniques. Interpret and explain machine learning concepts and findings to other members of the analytics team and non technical stakeholders within the company. Technical Skills required Previous experience in designing, building, optimising, deploying and managing business critical machine learning models using Azure ML in production environments. Experience in data wrangling using Python, SQL and ADF. Experience in CI/CD and DevOps/MLOps and version control. Familiarity with data visualization and reporting tools, ideally PowerBI. Good written and verbal communication and interpersonal skills. Ability to convey technical concepts to non technical stakeholders. Experience in the pensions or similar regulated financial services industry is highly desirable. Experience in working within a multidisciplinary team would be beneficial. Benefits We offer an attractive reward package; typical benefits can include: Competitive salary Participation in Discretionary Bonus Scheme A set of core benefits including Pension Plan, Life Assurance cover and employee assistance programme, 25 days holiday and access to a qualified, practising GP 24 hours a day/365 days a year Flexible Benefits Scheme to support you in and out of work, helping you look after you and your family covering Security & Protection, Health & Wellbeing, Lifestyle Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable for interview will be contacted. Proactive Appointments Limited operates as an employment agency and employment business and is an equal opportunities organisation. We take our obligations to protect your personal data very seriously. Any information provided to us will be processed as detailed in our Privacy Notice, a copy of which can be found on our website

A leading recruitment agency is seeking a Machine Learning Operations Engineer for a hybrid role in London. The ideal candidate will possess strong skills in developing, deploying, and managing machine learning models using Azure ML. Responsibilities include collaborating with analysts on predictive modeling and ensuring data quality for large datasets. The position offers competitive compensation, a discretionary bonus scheme, and a suite of flexible benefits catering to health and wellbeing.

A leading recruitment agency is seeking a Technical Lead - e-invoicing in Greater London. This role involves leading financial technology initiatives with a focus on e-invoicing and managing both on-shore and off-shore delivery teams. Candidates need strong knowledge of accounting principles and financial processes, as well as experience with ERP platforms such as Oracle Cloud and SAP. The position offers a competitive daily rate for the right candidate.

11355JS £450 - 500 per day Information Security Officer Inside IR35 - Hybrid Our client is urgently looking for an experienced Information Security Officer to join their team on a contract basis, initially for 6 months with a view to extend. Please note, the role is INSIDE of IR35. You will be required on-site in Surrey 2 days per week. Key Skills: Financial Services background Good knowledge of SOX Good knowledge around PCI DSS Well versed with ISO2701 Dealing with auditors NIST certifications Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable for interview will be contacted. Proactive Appointments Limited operates as an employment agency and employment business and is an equal opportunities organisation. We take our obligations to protect your personal data very seriously. Any information provided to us will be processed as detailed in our Privacy Notice, a copy of which can be found on our website

11328SR4 £40k - 60k per year Machine Learning Operations Engineer Our financial services client based in London is looking to recruit a Machine Learning Operations Engineer ASAP. The position will be a Hybrid role be working from home and their offices in London. To be considered for the role you must have the following essential skills & experience: Key Skills & Experience Model development: Work collaboratively with actuarial analysts to develop machine learning and statistical models to predict outcomes, related to pension schemes, such as life expectancy, default risk, or investment returns. Identify appropriate machine learning algorithms and apply them to enhance predictions, automate decision making processes, and improve client offerings. Machine Learning Operations: Responsible for designing, deploying, maintaining and refining statistical and machine learning models using Azure ML. Optimize model performance and computational efficiency. Ensure that applications run smoothly and handle large scale data efficiently. Implement and maintain monitoring of model drifts, data quality alerts, scheduled re training pipelines. Data Management and Preprocessing: Collect, clean and preprocess large datasets to facilitate analysis and model training. Implement data pipelines and ETL processes to ensure data availability and quality. Software Development: Write clean, efficient and scalable code in Python. Utilize CI/CD practices for version control, testing and code review. Work closely with actuarial analysts, actuarial modelling team (AMT) and other colleagues in the company to integrate data science findings into practical advice and strategies. Stay abreast of new trends and technologies in Data Science technologies and pensions to identify opportunities for innovation. Provide training and support to other team members on using machine learning tools and understanding analytical techniques. Interpret and explain machine learning concepts and findings to other members of the analytics team and non technical stakeholders within the company. Technical Skills required Previous experience in designing, building, optimising, deploying and managing business critical machine learning models using Azure ML in production environments. Experience in data wrangling using Python, SQL and ADF. Experience in CI/CD and DevOps/MLOps and version control. Familiarity with data visualization and reporting tools, ideally PowerBI. Good written and verbal communication and interpersonal skills. Ability to convey technical concepts to non-technical stakeholders. Experience in the pensions or similar regulated financial services industry is highly desirable. Experience in working within a multidisciplinary team would be beneficial. Benefits We offer an attractive reward package; typical benefits can include: Competitive salary Participation in discretionary bonus scheme Flexible benefits scheme to support you in and out of work, helping you look after you and your family covering security & protection, health & wellbeing, lifestyle Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable for interview will be contacted. Proactive Appointments Limited operates as an employment agency and employment business and is an equal opportunities organisation. We take our obligations to protect your personal data very seriously. Any information provided to us will be processed as detailed in our Privacy Notice, a copy of which can be found on our website