MLOPs Engineer (Junior to Expert level) x4 Location: Hybrid (Mainly London based - ad-hoc on-site) Duration: 6 months rolling Rate: £400pd to £1200pd DOE (Negotiable - please tell us what you are looking for) Overview: Are you a seasoned MLOps Engineer with a passion for AI and a track record of deploying, monitoring, and maintaining of machine learning models in production environments for optimal performance? As an MLOps Engineer, youll play a critical role in shaping and delivering cutting-edge solutions that redefine industries and create transformative impact. What You'll Do: . Deploy and maintain machine learning models in production environments. . Implement monitoring solutions to track model performance and detect anomalies. . Collaborate with data scientists and engineers to streamline the model deployment process. . Optimize models for scalability, reliability, and real-world performance. . Implement and manage model versioning and rollback procedures. . Troubleshoot and resolve issues related to model inference and data pipelines. . Stay updated on the latest developments in MLOps and implement best practices for model life cycle management. What You'll Bring: . 5+ years of experience in MLOps or a related field. . Masters or higher degree in Computer Science, Machine Learning, or a related field. . Solid understanding of machine learning concepts and model deployment. . Proficiency in programming languages such as Python. . Experience with model deployment frameworks (eg, TensorFlow Serving, TorchServe). . Knowledge of containerization and orchestration tools (eg, Docker, Kubernetes). . Familiarity with monitoring and logging tools for MLOps. . Strong collaboration and communication skills.
17/05/2024
Project-based
MLOPs Engineer (Junior to Expert level) x4 Location: Hybrid (Mainly London based - ad-hoc on-site) Duration: 6 months rolling Rate: £400pd to £1200pd DOE (Negotiable - please tell us what you are looking for) Overview: Are you a seasoned MLOps Engineer with a passion for AI and a track record of deploying, monitoring, and maintaining of machine learning models in production environments for optimal performance? As an MLOps Engineer, youll play a critical role in shaping and delivering cutting-edge solutions that redefine industries and create transformative impact. What You'll Do: . Deploy and maintain machine learning models in production environments. . Implement monitoring solutions to track model performance and detect anomalies. . Collaborate with data scientists and engineers to streamline the model deployment process. . Optimize models for scalability, reliability, and real-world performance. . Implement and manage model versioning and rollback procedures. . Troubleshoot and resolve issues related to model inference and data pipelines. . Stay updated on the latest developments in MLOps and implement best practices for model life cycle management. What You'll Bring: . 5+ years of experience in MLOps or a related field. . Masters or higher degree in Computer Science, Machine Learning, or a related field. . Solid understanding of machine learning concepts and model deployment. . Proficiency in programming languages such as Python. . Experience with model deployment frameworks (eg, TensorFlow Serving, TorchServe). . Knowledge of containerization and orchestration tools (eg, Docker, Kubernetes). . Familiarity with monitoring and logging tools for MLOps. . Strong collaboration and communication skills.
Statistician/Python/Models/Algorithms/Datamodelling/Quantitative/Economist Role: Senior Statistician Company: AI PropTech Salary: up to £80,000 Location: London - Hybrid Responsibilities: Explore the data through thorough analysis to unveil statistical indicators and patterns within our datasets. Examine the structure and integrity of the data, detecting anomalies or discrepancies. Your proficiency in statistical analysis, Datamodelling, and problem-solving will play a critical role in guiding the trajectory of our products and services. Gauge the significance and scale of the data to support decision-making. Choose appropriate statistical methods and algorithms tailored to project needs. Prototype data models to tackle real-world issues and refine them as necessary. Utilise Python (and SQL) to develop and enhance statistical models. Key requirements: Demonstrated expertise in roles such as Statistician, Trader, Economist, Quantitative (Quant) Analyst, or comparable positions. Proficient in Python, SQL, and Excel for data manipulation, analysis, and modelling at a professional level. Proven track record of collaborating within cross-functional product teams, including software engineers, product managers, and data scientists. Hands-on experience with data warehousing (DWH) and handling large datasets in commercial environments. Statistician/Python/Models/Algorithms/Datamodelling/Quantitative/Economist
16/05/2024
Full time
Statistician/Python/Models/Algorithms/Datamodelling/Quantitative/Economist Role: Senior Statistician Company: AI PropTech Salary: up to £80,000 Location: London - Hybrid Responsibilities: Explore the data through thorough analysis to unveil statistical indicators and patterns within our datasets. Examine the structure and integrity of the data, detecting anomalies or discrepancies. Your proficiency in statistical analysis, Datamodelling, and problem-solving will play a critical role in guiding the trajectory of our products and services. Gauge the significance and scale of the data to support decision-making. Choose appropriate statistical methods and algorithms tailored to project needs. Prototype data models to tackle real-world issues and refine them as necessary. Utilise Python (and SQL) to develop and enhance statistical models. Key requirements: Demonstrated expertise in roles such as Statistician, Trader, Economist, Quantitative (Quant) Analyst, or comparable positions. Proficient in Python, SQL, and Excel for data manipulation, analysis, and modelling at a professional level. Proven track record of collaborating within cross-functional product teams, including software engineers, product managers, and data scientists. Hands-on experience with data warehousing (DWH) and handling large datasets in commercial environments. Statistician/Python/Models/Algorithms/Datamodelling/Quantitative/Economist
My client are a large government organisation, they are seeking a Data Scientist on an initial 6 month contract basis (37 hours per week). The role is paying £20.47 per hour for the duration of the contract, INSIDE IR35. LIVE SC CLEARANCE PREFFERED FOR THIS ROLE Qualifications PhD/Degree/MSc in a highly numerate subject (eg Data Science, Computer Science, Mathematics, Statistics, Physics) Mandatory Experience experience using open-source tools, such as Python, R and Git. Able to effectively translate and accurately communicate across technical and nontechnical stakeholders as well as facilitating discussions within a multidisciplinary team, with potentially difficult dynamics. Able to advocate for the team externally and can manage differing perspectives. Uses agreed standards and tools to design, code, test, correct and document moderate to complex programs and scripts from agreed specifications and subsequent iterations. Collaborates with others to review specifications where appropriate. Able to review requirements, specifications and define test conditions. Able to identify issues and risks associated with work whilst being able to analyse and report test activities and results. Understands and can help teams apply a range of practices. Develops deeper expertise on a narrower range of specialisms. Starts to apply emerging theory to practical situations. Can work with data engineers to map, produce, transform and test new data feeds for data owners and consumers, selecting the most appropriate tools and technologies. Can lead ad hoc data exploration in a wide variety of data serialisation and storage formats, from across the business, for data consumers. Displays strong intellectual curiosity and proactively explores areas of innovation in both government and industry. Can identify the business value for innovation within their organisation. Promotes and monitors continuous professional development within their organisation. Develops knowledge of cutting-edge techniques and shares knowledge. Propagates data science capability across the organisation. Successful candidates will be required to undergo BPSS Clearance, therefore applicants must of resided in the UK for a minimum of four out of the last five years, in order to undergo this level of security check.
16/05/2024
Project-based
My client are a large government organisation, they are seeking a Data Scientist on an initial 6 month contract basis (37 hours per week). The role is paying £20.47 per hour for the duration of the contract, INSIDE IR35. LIVE SC CLEARANCE PREFFERED FOR THIS ROLE Qualifications PhD/Degree/MSc in a highly numerate subject (eg Data Science, Computer Science, Mathematics, Statistics, Physics) Mandatory Experience experience using open-source tools, such as Python, R and Git. Able to effectively translate and accurately communicate across technical and nontechnical stakeholders as well as facilitating discussions within a multidisciplinary team, with potentially difficult dynamics. Able to advocate for the team externally and can manage differing perspectives. Uses agreed standards and tools to design, code, test, correct and document moderate to complex programs and scripts from agreed specifications and subsequent iterations. Collaborates with others to review specifications where appropriate. Able to review requirements, specifications and define test conditions. Able to identify issues and risks associated with work whilst being able to analyse and report test activities and results. Understands and can help teams apply a range of practices. Develops deeper expertise on a narrower range of specialisms. Starts to apply emerging theory to practical situations. Can work with data engineers to map, produce, transform and test new data feeds for data owners and consumers, selecting the most appropriate tools and technologies. Can lead ad hoc data exploration in a wide variety of data serialisation and storage formats, from across the business, for data consumers. Displays strong intellectual curiosity and proactively explores areas of innovation in both government and industry. Can identify the business value for innovation within their organisation. Promotes and monitors continuous professional development within their organisation. Develops knowledge of cutting-edge techniques and shares knowledge. Propagates data science capability across the organisation. Successful candidates will be required to undergo BPSS Clearance, therefore applicants must of resided in the UK for a minimum of four out of the last five years, in order to undergo this level of security check.
The successful Senior level Data Scientist/Engineer will ideally have experience within the Secure Gov domain, as well as: Hands-on experience of applying data science or machine learning in Defence/Security, wider public sector, or in academia Deep understanding of the Defence and Security sector and the opportunities for transformation from AI & Data One programming language eg Java/Python/C++ Cloud technologies (AWS) Machine Learning knowledge Above and beyond technology - we're looking for passionate Engineers, providing complex, innovative solutions to Customers. Always looking to improve and seek out the best approach. In return, you will be working for a leading Management Consultancy with clients spanning Central Government, Law Enforcement, Justice & Home Affairs. Being involved with cutting-edge projects, Consultants refer to as Futuristic, your technical skills will truly be kept ahead of the curve. Active DV clearance is required for this position. For more information, please don't hesitate to get in touch - (see below)
15/05/2024
Full time
The successful Senior level Data Scientist/Engineer will ideally have experience within the Secure Gov domain, as well as: Hands-on experience of applying data science or machine learning in Defence/Security, wider public sector, or in academia Deep understanding of the Defence and Security sector and the opportunities for transformation from AI & Data One programming language eg Java/Python/C++ Cloud technologies (AWS) Machine Learning knowledge Above and beyond technology - we're looking for passionate Engineers, providing complex, innovative solutions to Customers. Always looking to improve and seek out the best approach. In return, you will be working for a leading Management Consultancy with clients spanning Central Government, Law Enforcement, Justice & Home Affairs. Being involved with cutting-edge projects, Consultants refer to as Futuristic, your technical skills will truly be kept ahead of the curve. Active DV clearance is required for this position. For more information, please don't hesitate to get in touch - (see below)