Lead Data Scientist - London, UK Are you a data wizard with a passion for innovation? Join our award-winning client as part of their growing team where you will drive data-led decision-making to build industry-leading data products. About them: They are a leading Media ad targeting company, trusted by top brands and agencies worldwide (some impressive names you will most definitely know). Their fast-growing business focuses on online video, helping clients navigate an advertising world without cookies and third-party data, while delivering exceptional results. Their products and services rely on intelligent features, in-depth data analysis, and trained AI models. The Role: Lead and develop their analytics and enrichment capabilities. Collaborate with a passionate data team to achieve goals. Hybrid role: 3 days in London, 2 days remote. Responsibilities: Lead a team of data scientists and analysts. Build and maintain ML models and solutions. Influence product and data strategy. Communicate complex analytics to diverse audiences. Collaborate with data science and engineering teams. Qualifications: 5+ years of relevant industry experience. Degree in a quantitative field (Mathematics, Machine Learning, Engineering, etc.). Experience with ML infrastructure, cloud platforms (AWS), and large unstructured data. Proficiency in Python, SQL, and NoSQL. Strong communication and leadership skills. Preferred: Hands-on experience with LLMs, LangChain, prompt engineering, RAG, etc. Experience in the advertising industry. Familiarity with data visualization tools (Tableau, PowerBI). Please note this role cannot offer sponsorship We Are Aspire Ltd are a Disability Confident Commited employer
Jan 23, 2025
Full time
Lead Data Scientist - London, UK Are you a data wizard with a passion for innovation? Join our award-winning client as part of their growing team where you will drive data-led decision-making to build industry-leading data products. About them: They are a leading Media ad targeting company, trusted by top brands and agencies worldwide (some impressive names you will most definitely know). Their fast-growing business focuses on online video, helping clients navigate an advertising world without cookies and third-party data, while delivering exceptional results. Their products and services rely on intelligent features, in-depth data analysis, and trained AI models. The Role: Lead and develop their analytics and enrichment capabilities. Collaborate with a passionate data team to achieve goals. Hybrid role: 3 days in London, 2 days remote. Responsibilities: Lead a team of data scientists and analysts. Build and maintain ML models and solutions. Influence product and data strategy. Communicate complex analytics to diverse audiences. Collaborate with data science and engineering teams. Qualifications: 5+ years of relevant industry experience. Degree in a quantitative field (Mathematics, Machine Learning, Engineering, etc.). Experience with ML infrastructure, cloud platforms (AWS), and large unstructured data. Proficiency in Python, SQL, and NoSQL. Strong communication and leadership skills. Preferred: Hands-on experience with LLMs, LangChain, prompt engineering, RAG, etc. Experience in the advertising industry. Familiarity with data visualization tools (Tableau, PowerBI). Please note this role cannot offer sponsorship We Are Aspire Ltd are a Disability Confident Commited employer
Role: AI/ML Engineer Location: Glasgow OR Dundee Salary: 70,000 max Remote work: This is a hybrid role and lots of our software team are Glasgow based and only come to the office a few times per month. We are looking at opening a hub in Glasgow as we know there is more talent there, so we would want them ideally working from the central Glasgow hub for 1-3 days per week and Dundee very occasionally. The company: We design and develop across a full stack of disciplines - Mechanical, Electronic, Electrical, and Software Engineering. Within our Digital team, we specialize in developing software for IoT edge devices, cloud services, frontend UI, AI/ML models in computer vision, and data analysis. We take pride in fostering a collaborative and supportive work environment with a focus on both individual and team development. Role Description and Purpose We are seeking a talented and enthusiastic AI/ML Engineer to join our dynamic team at an exciting stage of our digital journey. As a mid-sized enterprise, you'll have the opportunity to work closely with colleagues across the business, gaining visibility and recognition for your contributions. If you thrive in a collaborative environment and enjoy making an impact, this role is for you. As an AI/ML Engineer, you'll work alongside experienced professionals and gain hands-on experience throughout the entire product development lifecycle. Responsibilities Design, develop, and deploy high-performing machine learning models for computer vision applications, such as image classification, object detection, image segmentation, and video analysis. Conduct data analysis, feature engineering, and model selection to optimize performance and accuracy. Collaborate with cross-functional teams (e.g., data scientists, software engineers, and product managers) to translate business requirements into technical solutions. Develop and maintain robust, scalable machine learning pipelines using cloud services (e.g., AWS SageMaker, EC2, S3, Lambda) and other relevant technologies. Stay updated on advancements in computer vision and machine learning research, exploring new opportunities to apply these innovations to our projects. Contribute to the development and improvement of machine learning infrastructure and best practices. Mentor junior team members and promote a culture of innovation and continuous learning. Experience & Skills Master's or Ph.D. in Computer Science, Computer Engineering, or a related field, with a strong focus on machine learning. 3+ years of professional experience in developing and deploying machine learning models, particularly for computer vision applications. Strong understanding of deep learning concepts and architectures (e.g., CNNs, RNNs, Transformers) and their practical applications. Proficiency in Python and experience with machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn). Experience with cloud services, including AWS SageMaker, EC2, S3, Lambda, etc. Familiarity with cloud-native development and deployment practices. Ability to work independently as well as collaboratively. A strong passion for machine learning and a commitment to continuous growth. General Skills Excellent problem-solving abilities and creative thinking. Passion for learning and staying current with industry trends and best practices. Strong communication and teamwork skills, with openness and transparency as default. Initiative and a proactive approach to tasks. Flexibility and a focus on contributing to organizational success. Bonus Points Knowledge of MLOps principles and best practices. Experience with distributed computing and large-scale data processing. Familiarity with industry-specific applications of computer vision or machine learning. Benefits: 37.5 hours working week 33 days annual leave Death in service at 4 x your annual salary Employee Assistance Programme Enhanced parental leave policies Birthday day off Paid bereavement leave Paid sick leave Company pension scheme Cycle to work scheme How to apply? Please send a CV to (url removed) People Source Consulting Ltd is acting as an Employment Agency in relation to this vacancy. People Source specialise in technology recruitment across niche markets including Information Technology, Digital TV, Digital Marketing, Project and Programme Management, SAP, Digital and Consumer Electronics, Air Traffic Management, Management Consultancy, Business Intelligence, Manufacturing, Telecoms, Public Sector, Healthcare, Finance and Oil & Gas.
Jan 22, 2025
Full time
Role: AI/ML Engineer Location: Glasgow OR Dundee Salary: 70,000 max Remote work: This is a hybrid role and lots of our software team are Glasgow based and only come to the office a few times per month. We are looking at opening a hub in Glasgow as we know there is more talent there, so we would want them ideally working from the central Glasgow hub for 1-3 days per week and Dundee very occasionally. The company: We design and develop across a full stack of disciplines - Mechanical, Electronic, Electrical, and Software Engineering. Within our Digital team, we specialize in developing software for IoT edge devices, cloud services, frontend UI, AI/ML models in computer vision, and data analysis. We take pride in fostering a collaborative and supportive work environment with a focus on both individual and team development. Role Description and Purpose We are seeking a talented and enthusiastic AI/ML Engineer to join our dynamic team at an exciting stage of our digital journey. As a mid-sized enterprise, you'll have the opportunity to work closely with colleagues across the business, gaining visibility and recognition for your contributions. If you thrive in a collaborative environment and enjoy making an impact, this role is for you. As an AI/ML Engineer, you'll work alongside experienced professionals and gain hands-on experience throughout the entire product development lifecycle. Responsibilities Design, develop, and deploy high-performing machine learning models for computer vision applications, such as image classification, object detection, image segmentation, and video analysis. Conduct data analysis, feature engineering, and model selection to optimize performance and accuracy. Collaborate with cross-functional teams (e.g., data scientists, software engineers, and product managers) to translate business requirements into technical solutions. Develop and maintain robust, scalable machine learning pipelines using cloud services (e.g., AWS SageMaker, EC2, S3, Lambda) and other relevant technologies. Stay updated on advancements in computer vision and machine learning research, exploring new opportunities to apply these innovations to our projects. Contribute to the development and improvement of machine learning infrastructure and best practices. Mentor junior team members and promote a culture of innovation and continuous learning. Experience & Skills Master's or Ph.D. in Computer Science, Computer Engineering, or a related field, with a strong focus on machine learning. 3+ years of professional experience in developing and deploying machine learning models, particularly for computer vision applications. Strong understanding of deep learning concepts and architectures (e.g., CNNs, RNNs, Transformers) and their practical applications. Proficiency in Python and experience with machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn). Experience with cloud services, including AWS SageMaker, EC2, S3, Lambda, etc. Familiarity with cloud-native development and deployment practices. Ability to work independently as well as collaboratively. A strong passion for machine learning and a commitment to continuous growth. General Skills Excellent problem-solving abilities and creative thinking. Passion for learning and staying current with industry trends and best practices. Strong communication and teamwork skills, with openness and transparency as default. Initiative and a proactive approach to tasks. Flexibility and a focus on contributing to organizational success. Bonus Points Knowledge of MLOps principles and best practices. Experience with distributed computing and large-scale data processing. Familiarity with industry-specific applications of computer vision or machine learning. Benefits: 37.5 hours working week 33 days annual leave Death in service at 4 x your annual salary Employee Assistance Programme Enhanced parental leave policies Birthday day off Paid bereavement leave Paid sick leave Company pension scheme Cycle to work scheme How to apply? Please send a CV to (url removed) People Source Consulting Ltd is acting as an Employment Agency in relation to this vacancy. People Source specialise in technology recruitment across niche markets including Information Technology, Digital TV, Digital Marketing, Project and Programme Management, SAP, Digital and Consumer Electronics, Air Traffic Management, Management Consultancy, Business Intelligence, Manufacturing, Telecoms, Public Sector, Healthcare, Finance and Oil & Gas.
Job Title: Senior Data Modeller - Hybrid Location: Windsor - 3 to 4 times a week Salary/Rate: Up to 545 a day Inside IR35 Start Date: January Job Type: 6 Month Contract (with scope to extend) Company Introduction We are looking for a Senior Data Modeller to join our client in the Utilities industry. The successful candidate for this role will be able to commute to the office in Windsor 3 to 4 days a week. Job Responsibilities/Objectives Work with the business intelligence team to gather requirements for the database design and model Understand the data needs of the company or client Collaborate with the development team to design and build the database model Engage the development team to implement the database Determine the business needs for data reporting requirements Adjust access to the data and the reports as needed Work closely with the development team to implement data warehouse and reporting Understand the company's data migration needs Work with the development team to implement the migration Work with data scientists to determine metadata querying requirements Help to implement the querying Help determine and manage data cleaning requirements Help determine data security needs and implement security solutions Job Qualifications and Skill Sets Required Skills/Experience Knowledge of relational databases and data architecture computer systems, including SQL Familiarity with or a bachelor's degree in computer science, data science, information technology, or data modelling Knowledge of ER modelling, big data, enterprise data, and physical data models Familiarity with data modelling software such as SAP PowerDesigner, Microsoft Visio, or Erwin Data Modeller Excellent presentation, communication, and organisational skills Strong attention to detail Ability to work in a fast-paced environment Ability to work both independently and as part of a team If you are interested in this opportunity, please apply now with your updated CV in Microsoft Word/PDF format. Disclaimer Notwithstanding any guidelines given to level of experience sought, we will consider candidates from outside this range if they can demonstrate the necessary competencies. Square One is acting as both an employment agency and an employment business, and is an equal opportunities recruitment business. Square One embraces diversity and will treat everyone equally. Please see our website for our full diversity statement.
Jan 22, 2025
Contractor
Job Title: Senior Data Modeller - Hybrid Location: Windsor - 3 to 4 times a week Salary/Rate: Up to 545 a day Inside IR35 Start Date: January Job Type: 6 Month Contract (with scope to extend) Company Introduction We are looking for a Senior Data Modeller to join our client in the Utilities industry. The successful candidate for this role will be able to commute to the office in Windsor 3 to 4 days a week. Job Responsibilities/Objectives Work with the business intelligence team to gather requirements for the database design and model Understand the data needs of the company or client Collaborate with the development team to design and build the database model Engage the development team to implement the database Determine the business needs for data reporting requirements Adjust access to the data and the reports as needed Work closely with the development team to implement data warehouse and reporting Understand the company's data migration needs Work with the development team to implement the migration Work with data scientists to determine metadata querying requirements Help to implement the querying Help determine and manage data cleaning requirements Help determine data security needs and implement security solutions Job Qualifications and Skill Sets Required Skills/Experience Knowledge of relational databases and data architecture computer systems, including SQL Familiarity with or a bachelor's degree in computer science, data science, information technology, or data modelling Knowledge of ER modelling, big data, enterprise data, and physical data models Familiarity with data modelling software such as SAP PowerDesigner, Microsoft Visio, or Erwin Data Modeller Excellent presentation, communication, and organisational skills Strong attention to detail Ability to work in a fast-paced environment Ability to work both independently and as part of a team If you are interested in this opportunity, please apply now with your updated CV in Microsoft Word/PDF format. Disclaimer Notwithstanding any guidelines given to level of experience sought, we will consider candidates from outside this range if they can demonstrate the necessary competencies. Square One is acting as both an employment agency and an employment business, and is an equal opportunities recruitment business. Square One embraces diversity and will treat everyone equally. Please see our website for our full diversity statement.
CK Group are recruiting for a Scientist role on behalf of a growing biotech company, to utilise their scientific expertise to support the delivery of the companies R&D objectives. This role will be based at their site in Canary Wharf, on a permanent basis. The Role The Scientist is responsible for independently designing, executing and analysing in vitro experiments resulting in the delivery of high-quality work packages and will demonstrate scientific rigor and critique of their work. This includes performing established SOPs, as well as assay development and optimisation to support the screening of novel biologics i.e. monospecific and multi-specific antibodies. This is an exciting opportunity to join a fast paced team that is dedicated to delivering next generation immune cell engagers to patients. Responsibilities: Perform, analyse and interpret experiments to deliver work packages to meet agreed objectives. Support assay development and data package delivery for both immunology and translational focused assays. Actively contribute to the smooth running of the laboratory e.g. by performing cell culture, banking cell lines and isolation of primary immune cells from whole blood. Support the development of complex co-culture assays to explore functional and phenotypic responses of novel therapeutic antibodies. Support complex scientific research of R&D team by generating data and presenting to the wider team on a regular basis. Proactively seeking to support delivery from the whole R&D team. Your Background: PhD in relevant biological discipline or MSc (eg Immunology or Cell Biology) with at least three years of relevant laboratory-based experience. Experience working in a company setting (Biotech or Pharma) strongly preferred. Experience in immunology research across a range of immune cell subtypes. Expertise in innate immunology specifically gamma delta T cell biology would be advantageous. Experience in immunology research across a range of cell types including isolating, culturing and performing functional assays with primary human immune cells. Experience designing flow panels, performing compensation and running multi-colour flow cytometry assays. Experience performing high throughput (at least 96-well microtiter plates) cell based functional/ imaging-based assay. Apply: It is essential all applicants hold entitlement to work in the UK. Please quote job reference (Apply online only) in all correspondence.
Jan 22, 2025
Full time
CK Group are recruiting for a Scientist role on behalf of a growing biotech company, to utilise their scientific expertise to support the delivery of the companies R&D objectives. This role will be based at their site in Canary Wharf, on a permanent basis. The Role The Scientist is responsible for independently designing, executing and analysing in vitro experiments resulting in the delivery of high-quality work packages and will demonstrate scientific rigor and critique of their work. This includes performing established SOPs, as well as assay development and optimisation to support the screening of novel biologics i.e. monospecific and multi-specific antibodies. This is an exciting opportunity to join a fast paced team that is dedicated to delivering next generation immune cell engagers to patients. Responsibilities: Perform, analyse and interpret experiments to deliver work packages to meet agreed objectives. Support assay development and data package delivery for both immunology and translational focused assays. Actively contribute to the smooth running of the laboratory e.g. by performing cell culture, banking cell lines and isolation of primary immune cells from whole blood. Support the development of complex co-culture assays to explore functional and phenotypic responses of novel therapeutic antibodies. Support complex scientific research of R&D team by generating data and presenting to the wider team on a regular basis. Proactively seeking to support delivery from the whole R&D team. Your Background: PhD in relevant biological discipline or MSc (eg Immunology or Cell Biology) with at least three years of relevant laboratory-based experience. Experience working in a company setting (Biotech or Pharma) strongly preferred. Experience in immunology research across a range of immune cell subtypes. Expertise in innate immunology specifically gamma delta T cell biology would be advantageous. Experience in immunology research across a range of cell types including isolating, culturing and performing functional assays with primary human immune cells. Experience designing flow panels, performing compensation and running multi-colour flow cytometry assays. Experience performing high throughput (at least 96-well microtiter plates) cell based functional/ imaging-based assay. Apply: It is essential all applicants hold entitlement to work in the UK. Please quote job reference (Apply online only) in all correspondence.
Senior Laboratory Research Scientist - Spatial Profiling MANIFEST Research Platform/Cancer Dynamics Laboratory Reports to: Prof. Samra Turajlic, Cancer Dynamic Laboratory Group Leader and MANIFEST Consortium Lead, Contract term: This is a full-time, fixed term (3 years) position on Crick terms and conditions of employment. The role will be placed in the Cancer Dynamics Laboratory and will support the MANIFEST research platform led by Prof. Samra Turajlic. Research Group & Project The MANIFEST RESEARCH PLATFORM Harnessing the immune system to treat cancer has revolutionised survival outcomes for many patients. Immune checkpoint inhibitor therapies which unleash the brakes from immune cells to kill cancer cells, have become standard of care for many cancer subtypes. The success of existing, emerging and future immunotherapies and their routine use in the NHS is dependent on the appropriate tools, data and technology to rationalise their use and manage their side effects. Nevertheless, almost no biomarkers today can effectively distinguish responders from non-responders, predict toxicity, or guide treatment choices. An exciting Senior Laboratory Research Scientist (SLRS) post is available for MANIFEST ("Multiomic ANalysis of Immunotherapy Features Evidencing Success and Toxicity"), a newly formed ambitious multi-stakeholder consortium involving academic, industry and NHS partners to deliver deep multiomic profiling for patients with cancer undergoing immunotherapy. The MANIFEST consortium represents a diverse group of UK-wide experts in cancer research and clinical care comprising major NHS trusts, academic institutes and universities, and industry partners. This grant is funded by the UK Office of Life Sciences (OLS) and the Medical Research Council (MRC). MANIFEST addresses the critical challenge in cancer treatment: predicting how patients will respond to immunotherapy. By integrating multiomic data and innovative methodologies, this platform aims to enhance treatment precision and effectiveness. More information can be found here: . Summary of the role The successful candidate will join the MANIFEST programme within the Cancer Dynamics research group and will work closely with the Experimental Histopathology Science Technology Platform (STP), providing advice, training, and expertise in a range of techniques to analyse human cancer specimens for translational research within the MANIFEST platform. Their time will be spent in the lab, with a primary responsibility for optimising and performing automated Immunohistochemistry (IHC), multiplex Immunofluorescence (mIF), and RNAScope on tissue sections derived from formalin-fixed paraffin-embedded (FFPE) human cancer tissue blocks. The post holder will also be involved in the development of new technologies relating to spatial transcriptomics and integrated proteomics with the opportunity to collaborate with leading technical platforms (Leica Bond RX, Akoya, 10X Genomics), as well as access to expertise across the broader consortium. Whilst the primary responsibility of the role is to support spatial multiomic pipelines within the MANIFEST Histology platform, additional responsibilities will include slide scanning and image pre-processing plus general lab organisation/administration. The post holder will report to the Group Leader Samra Turajlic and will interact closely with the Experimental Histopathology facility at the Crick, as well as with post-docs, students, scientists, technicians from the lab, and scientific partners of MANIFEST. Within this role, there will be several opportunities for personal development including access to relevant training and courses, interactions with scientific partners and Key Opinion Leaders across the MANIFEST platform as well as opportunities for training and secondment in different research environments across the UK within the MANIFEST consortium. Key Responsibilities These include but are not limited to: Exemplifying and maintaining standards for the Histology platform Conducting experimental work autonomously and by own initiative as agreed with the Spatial Lead and Programme Lead Operating as a technical specialist in IHC/mIF and ISH (RNAScope) staining and spatial transcriptomics staining projects Interacting with and consulting collaboratively with researchers Actively supporting and training team members to develop their skills and promote collective success Use of knowledge to build on existing methodologies and innovate through Identification, assessment and development of new technologies, to expand the capabilities of the platform under guidance of Spatial lead Supporting and contributing to existing projects through effectively and efficiently performing established techniques Contribution to the day-to-day operations to ensure the laboratory runs as efficiently as possible, including reagent preparation, operation and maintenance of platform equipment, sample accession and preparation, maintenance of safety standards and general lab organisation Communication and participation in lab work discussions, lab meetings, spatial work meetings, to keep colleagues informed of developments Writing and presenting work to MANIFEST stakeholders as required Engaging in relevant MANIFEST programme workflows with academic, NHS and industry partners Striving for continuous performance improvement Maintaining professional development through attending meetings, seminars and reading relevant literature Person Specification The post holder should embody and demonstrate our core Crick values: Bold, Open, Collegiate, in addition to the following: Essential skills/experience Degree (or equivalent) or extensive relevant experience Evidence of extensive experience/skills in IHC/IF and MIF Experience running Bond RX automated stainers Proven evidence of independent thinking, problem solving and troubleshooting Flexible working practice Ability to work with day-to-day independence but able to take direction when necessary High degree of self-motivation Ability to multi-task and integrate the demands of different activities in parallel to maintaining operation of the laboratory. Excellent skills in written and oral communication Computer literacy Open and interactive approach with line manager, laboratory colleagues and collaborators. Desirable skills/experience PhD in a relevant discipline Experience with spatial transcriptomics platforms (CosMx, GeoMx, Visium, Xenium) Experience with High Plex platforms (>15plex - Akoya, Lunaphore) Experience in RNAScope (ISH) staining Experience in working in an academic environment Experience working in a service environment Experience in Image acquisition and analysis About Us At the Crick, we conduct research at the forefront of biomedical research. We combine rigour with an open and collaborative culture, and are outward-looking, reflecting our status as a partnership of six organisations aiming to pool knowledge, ideas and resources. We have a wide research portfolio with no divisions or departments, bringing biomedical researchers together with clinicians, physical scientists and applied scientists from our pharmaceutical partners. We aim to attract the most talented researchers and support them to tackle innovative research questions. Our science technology platforms provide our researchers with access to state-of-the-art technology and expertise. We provide an excellent learning environment with dedicated education programmes in public engagement with science, education and personal development, and a postdoc training programme that prepares scientists for leadership roles in science. If you are interested in applying for this role, please apply via our website . All offers of employment are subject to successful security screening and continuous eligibility to work in the United Kingdom. If you require a visa to work in the UK we will help support your application should you be successful Find out what benefits the Crick has to offer: For more information on our great pay and benefits package please click here: Equality, Diversity & Inclusion: We welcome applications from all backgrounds. We are committed to providing equal employment opportunities, regardless of ethnicity, nationality, gender, sexual orientation, gender identity, religion, pregnancy, age, disability, or civil partnership, marital or family status. We particularly welcome applications from people who are Minority Ethnic as they are currently underrepresented in the Crick at this level. Diversity is essential to excellence in scientific endeavour. It increases breadth and perspective, leading to more innovation and creativity. We want the Crick to be a place where everyone feels valued and where diversity is celebrated and seen as part of the foundation for our Institute's success. The Crick is committed to creating equality of opportunity and promoting diversity and inclusivity. We all share in the responsibility to actively promote dignity, respect . click apply for full job details
Jan 22, 2025
Full time
Senior Laboratory Research Scientist - Spatial Profiling MANIFEST Research Platform/Cancer Dynamics Laboratory Reports to: Prof. Samra Turajlic, Cancer Dynamic Laboratory Group Leader and MANIFEST Consortium Lead, Contract term: This is a full-time, fixed term (3 years) position on Crick terms and conditions of employment. The role will be placed in the Cancer Dynamics Laboratory and will support the MANIFEST research platform led by Prof. Samra Turajlic. Research Group & Project The MANIFEST RESEARCH PLATFORM Harnessing the immune system to treat cancer has revolutionised survival outcomes for many patients. Immune checkpoint inhibitor therapies which unleash the brakes from immune cells to kill cancer cells, have become standard of care for many cancer subtypes. The success of existing, emerging and future immunotherapies and their routine use in the NHS is dependent on the appropriate tools, data and technology to rationalise their use and manage their side effects. Nevertheless, almost no biomarkers today can effectively distinguish responders from non-responders, predict toxicity, or guide treatment choices. An exciting Senior Laboratory Research Scientist (SLRS) post is available for MANIFEST ("Multiomic ANalysis of Immunotherapy Features Evidencing Success and Toxicity"), a newly formed ambitious multi-stakeholder consortium involving academic, industry and NHS partners to deliver deep multiomic profiling for patients with cancer undergoing immunotherapy. The MANIFEST consortium represents a diverse group of UK-wide experts in cancer research and clinical care comprising major NHS trusts, academic institutes and universities, and industry partners. This grant is funded by the UK Office of Life Sciences (OLS) and the Medical Research Council (MRC). MANIFEST addresses the critical challenge in cancer treatment: predicting how patients will respond to immunotherapy. By integrating multiomic data and innovative methodologies, this platform aims to enhance treatment precision and effectiveness. More information can be found here: . Summary of the role The successful candidate will join the MANIFEST programme within the Cancer Dynamics research group and will work closely with the Experimental Histopathology Science Technology Platform (STP), providing advice, training, and expertise in a range of techniques to analyse human cancer specimens for translational research within the MANIFEST platform. Their time will be spent in the lab, with a primary responsibility for optimising and performing automated Immunohistochemistry (IHC), multiplex Immunofluorescence (mIF), and RNAScope on tissue sections derived from formalin-fixed paraffin-embedded (FFPE) human cancer tissue blocks. The post holder will also be involved in the development of new technologies relating to spatial transcriptomics and integrated proteomics with the opportunity to collaborate with leading technical platforms (Leica Bond RX, Akoya, 10X Genomics), as well as access to expertise across the broader consortium. Whilst the primary responsibility of the role is to support spatial multiomic pipelines within the MANIFEST Histology platform, additional responsibilities will include slide scanning and image pre-processing plus general lab organisation/administration. The post holder will report to the Group Leader Samra Turajlic and will interact closely with the Experimental Histopathology facility at the Crick, as well as with post-docs, students, scientists, technicians from the lab, and scientific partners of MANIFEST. Within this role, there will be several opportunities for personal development including access to relevant training and courses, interactions with scientific partners and Key Opinion Leaders across the MANIFEST platform as well as opportunities for training and secondment in different research environments across the UK within the MANIFEST consortium. Key Responsibilities These include but are not limited to: Exemplifying and maintaining standards for the Histology platform Conducting experimental work autonomously and by own initiative as agreed with the Spatial Lead and Programme Lead Operating as a technical specialist in IHC/mIF and ISH (RNAScope) staining and spatial transcriptomics staining projects Interacting with and consulting collaboratively with researchers Actively supporting and training team members to develop their skills and promote collective success Use of knowledge to build on existing methodologies and innovate through Identification, assessment and development of new technologies, to expand the capabilities of the platform under guidance of Spatial lead Supporting and contributing to existing projects through effectively and efficiently performing established techniques Contribution to the day-to-day operations to ensure the laboratory runs as efficiently as possible, including reagent preparation, operation and maintenance of platform equipment, sample accession and preparation, maintenance of safety standards and general lab organisation Communication and participation in lab work discussions, lab meetings, spatial work meetings, to keep colleagues informed of developments Writing and presenting work to MANIFEST stakeholders as required Engaging in relevant MANIFEST programme workflows with academic, NHS and industry partners Striving for continuous performance improvement Maintaining professional development through attending meetings, seminars and reading relevant literature Person Specification The post holder should embody and demonstrate our core Crick values: Bold, Open, Collegiate, in addition to the following: Essential skills/experience Degree (or equivalent) or extensive relevant experience Evidence of extensive experience/skills in IHC/IF and MIF Experience running Bond RX automated stainers Proven evidence of independent thinking, problem solving and troubleshooting Flexible working practice Ability to work with day-to-day independence but able to take direction when necessary High degree of self-motivation Ability to multi-task and integrate the demands of different activities in parallel to maintaining operation of the laboratory. Excellent skills in written and oral communication Computer literacy Open and interactive approach with line manager, laboratory colleagues and collaborators. Desirable skills/experience PhD in a relevant discipline Experience with spatial transcriptomics platforms (CosMx, GeoMx, Visium, Xenium) Experience with High Plex platforms (>15plex - Akoya, Lunaphore) Experience in RNAScope (ISH) staining Experience in working in an academic environment Experience working in a service environment Experience in Image acquisition and analysis About Us At the Crick, we conduct research at the forefront of biomedical research. We combine rigour with an open and collaborative culture, and are outward-looking, reflecting our status as a partnership of six organisations aiming to pool knowledge, ideas and resources. We have a wide research portfolio with no divisions or departments, bringing biomedical researchers together with clinicians, physical scientists and applied scientists from our pharmaceutical partners. We aim to attract the most talented researchers and support them to tackle innovative research questions. Our science technology platforms provide our researchers with access to state-of-the-art technology and expertise. We provide an excellent learning environment with dedicated education programmes in public engagement with science, education and personal development, and a postdoc training programme that prepares scientists for leadership roles in science. If you are interested in applying for this role, please apply via our website . All offers of employment are subject to successful security screening and continuous eligibility to work in the United Kingdom. If you require a visa to work in the UK we will help support your application should you be successful Find out what benefits the Crick has to offer: For more information on our great pay and benefits package please click here: Equality, Diversity & Inclusion: We welcome applications from all backgrounds. We are committed to providing equal employment opportunities, regardless of ethnicity, nationality, gender, sexual orientation, gender identity, religion, pregnancy, age, disability, or civil partnership, marital or family status. We particularly welcome applications from people who are Minority Ethnic as they are currently underrepresented in the Crick at this level. Diversity is essential to excellence in scientific endeavour. It increases breadth and perspective, leading to more innovation and creativity. We want the Crick to be a place where everyone feels valued and where diversity is celebrated and seen as part of the foundation for our Institute's success. The Crick is committed to creating equality of opportunity and promoting diversity and inclusivity. We all share in the responsibility to actively promote dignity, respect . click apply for full job details
Description As a Senior Data Engineer, you'd be working on innovative projects with cutting-edge technology, primarily using Google Cloud Platform (GCP). Responsibilities: Develop and maintain automated data processing pipelines using GCP. Design, build, and maintain data pipelines for data ingestion, ETL, and storage. Implement and maintain databases and data storage solutions. Collaborate with data scientists and analysts to design and optimize data models for analytics and reporting. Ensure data quality, accuracy, and completeness. Requirements: Experience with cloud platforms like AWS, Azure, or GCP. Strong proficiency in SQL and experience with relational databases. Experience with big data technologies such as Hadoop, Spark, or Hive. Proficiency in Python and at least one other programming language like Java or Scala. Strong analytical and problem-solving skills. Skills Cloud Google Cloud Aws Azure Sql MySQL oracle SQL hadoop Spark hive Python Java Scala Job Title: Senior Data Engineer (Cloud) Location: Manchester, UK Rate/Salary: .00 GBP Yearly Job Type: Permanent Trading as TEKsystems. Allegis Group Limited, Bracknell, RG12 1RT, United Kingdom. No Allegis Group Limited operates as an Employment Business and Employment Agency as set out in the Conduct of Employment Agencies and Employment Businesses Regulations 2003. TEKsystems is a company within the Allegis Group network of companies (collectively referred to as "Allegis Group"). Aerotek, Aston Carter, EASi, Talentis Solutions, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available at our website. To access our Online Privacy Notice, which explains what information we may collect, use, share, and store about you, and describes your rights and choices about this, please go our website. We are part of a global network of companies and as a result, the personal data you provide will be shared within Allegis Group and transferred and processed outside the UK, Switzerland and European Economic Area subject to the protections described in the Allegis Group Online Privacy Notice. We store personal data in the UK, EEA, Switzerland and the USA. If you would like to exercise your privacy rights, please visit the "Contacting Us" section of our Online Privacy Notice on our website for details on how to contact us. To protect your privacy and security, we may take steps to verify your identity, such as a password and user ID if there is an account associated with your request, or identifying information such as your address or date of birth, before proceeding with your request. commitments under the UK Data Protection Act, EU-U.S. Privacy Shield or the Swiss-U.S. Privacy Shield.
Jan 22, 2025
Full time
Description As a Senior Data Engineer, you'd be working on innovative projects with cutting-edge technology, primarily using Google Cloud Platform (GCP). Responsibilities: Develop and maintain automated data processing pipelines using GCP. Design, build, and maintain data pipelines for data ingestion, ETL, and storage. Implement and maintain databases and data storage solutions. Collaborate with data scientists and analysts to design and optimize data models for analytics and reporting. Ensure data quality, accuracy, and completeness. Requirements: Experience with cloud platforms like AWS, Azure, or GCP. Strong proficiency in SQL and experience with relational databases. Experience with big data technologies such as Hadoop, Spark, or Hive. Proficiency in Python and at least one other programming language like Java or Scala. Strong analytical and problem-solving skills. Skills Cloud Google Cloud Aws Azure Sql MySQL oracle SQL hadoop Spark hive Python Java Scala Job Title: Senior Data Engineer (Cloud) Location: Manchester, UK Rate/Salary: .00 GBP Yearly Job Type: Permanent Trading as TEKsystems. Allegis Group Limited, Bracknell, RG12 1RT, United Kingdom. No Allegis Group Limited operates as an Employment Business and Employment Agency as set out in the Conduct of Employment Agencies and Employment Businesses Regulations 2003. TEKsystems is a company within the Allegis Group network of companies (collectively referred to as "Allegis Group"). Aerotek, Aston Carter, EASi, Talentis Solutions, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available at our website. To access our Online Privacy Notice, which explains what information we may collect, use, share, and store about you, and describes your rights and choices about this, please go our website. We are part of a global network of companies and as a result, the personal data you provide will be shared within Allegis Group and transferred and processed outside the UK, Switzerland and European Economic Area subject to the protections described in the Allegis Group Online Privacy Notice. We store personal data in the UK, EEA, Switzerland and the USA. If you would like to exercise your privacy rights, please visit the "Contacting Us" section of our Online Privacy Notice on our website for details on how to contact us. To protect your privacy and security, we may take steps to verify your identity, such as a password and user ID if there is an account associated with your request, or identifying information such as your address or date of birth, before proceeding with your request. commitments under the UK Data Protection Act, EU-U.S. Privacy Shield or the Swiss-U.S. Privacy Shield.
Spectrum IT Recruitment (South) Ltd
Maidenhead, Berkshire
Data Scientist Maidenhead, 3 days Onsite, Hybrid Up to £64,000 + Benefits Our client is a global leader in enterprise management software solutions, specialising in helping businesses across the retail and consumer services sectors to optimise operations, manage data, and drive customer loyalty. They are seeking a talented Data Scientist (Level 2) to analyse complex data sets, develop predictive models, and deliver actionable insights that support their cutting-edge solutions. This is an exciting opportunity to work with a forward-thinking organisation that values collaboration, innovation, and the impact of data-driven decision-making on a global scale. Key Responsibilities: Analyse large data sets to identify trends and generate actionable insights. Develop and optimise machine learning models to address business challenges. Collaborate with data engineering teams to ensure data quality and efficiency. Present findings to both technical and non-technical audiences. Mentor junior team members and contribute to the growth of the data science team. Qualifications: Bachelor's degree in Data Science, Statistics, Mathematics, or a related field. 2+ years of experience in a data science or analytics role. Proficiency in Python or R, SQL, and data visualisation tools. Experience with machine learning models and statistical analysis. Preferred Skills: Familiarity with AWS and experiment design. Strong problem-solving and communication skills. What's on Offer: Join a global leader driving innovation and efficiency in a dynamic industry. This role offers the chance to make a meaningful impact on leading brands and millions of customers worldwide, while advancing your career in a collaborative and innovative environment. How to Apply: If you're ready to take your data science career to the next level and thrive in a global organisation, apply today! Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
Jan 22, 2025
Full time
Data Scientist Maidenhead, 3 days Onsite, Hybrid Up to £64,000 + Benefits Our client is a global leader in enterprise management software solutions, specialising in helping businesses across the retail and consumer services sectors to optimise operations, manage data, and drive customer loyalty. They are seeking a talented Data Scientist (Level 2) to analyse complex data sets, develop predictive models, and deliver actionable insights that support their cutting-edge solutions. This is an exciting opportunity to work with a forward-thinking organisation that values collaboration, innovation, and the impact of data-driven decision-making on a global scale. Key Responsibilities: Analyse large data sets to identify trends and generate actionable insights. Develop and optimise machine learning models to address business challenges. Collaborate with data engineering teams to ensure data quality and efficiency. Present findings to both technical and non-technical audiences. Mentor junior team members and contribute to the growth of the data science team. Qualifications: Bachelor's degree in Data Science, Statistics, Mathematics, or a related field. 2+ years of experience in a data science or analytics role. Proficiency in Python or R, SQL, and data visualisation tools. Experience with machine learning models and statistical analysis. Preferred Skills: Familiarity with AWS and experiment design. Strong problem-solving and communication skills. What's on Offer: Join a global leader driving innovation and efficiency in a dynamic industry. This role offers the chance to make a meaningful impact on leading brands and millions of customers worldwide, while advancing your career in a collaborative and innovative environment. How to Apply: If you're ready to take your data science career to the next level and thrive in a global organisation, apply today! Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
Head of Operations Siemens Healthineers Magnet Technology has an exciting opportunity for an experienced leader to lead, motivate, and support a large team in a fast-paced and demanding environment. In this role, you will be responsible for delivering the Magnet Technology product portfolio to meet customer requirements with the highest standards of quality and cost efficiency. You will work across all manufacturing areas within Supply Chain Management, driving operational excellence and striving for world-class manufacturing status. By leading continuous improvement initiatives and eliminating waste, you will play a crucial role in maximising profitability and ensuring the ongoing success of the existing site in Eynsham, Oxford and our new 4.0 production facility based in Bicester, Oxfordshire. Your tasks and responsibilities: Collaborate with the Senior Leadership Team to shape strategic plans, identify business opportunities, and develop innovative strategies for long-term success, ensuring alignment with the Operations team. Develop and manage financial budgets to achieve key performance indicators (KPIs) such as revenue, profit, and cost of quality, driving financial and operational performance. Build a high-performance culture by promoting ownership, accountability, and adherence to safety (EHS) and operational excellence, ensuring the team's objectives align with overarching strategic themes. Ensure workforce planning meets customer demands by optimising labour resource capacity and implementing robust training programs to support current and future production needs. Evolve the manufacturing facility in line with long-term strategies and new product requirements, maintaining flexibility and adaptability in operations. Champion a world-class Quality culture by upholding stringent quality standards, resolving manufacturing challenges, and embedding a culture of continuous improvement. Lead initiatives to drive Lean manufacturing principles and best practices, fostering efficiency, waste reduction, and the pursuit of operational excellence. Develop, maintain, and utilise scorecards and KPIs to monitor performance, support decision-making, and drive improvement across all operational areas. Your qualifications and experience: A role model in clear, logical communication at all organisational levels, capable of leading discussions, presenting structured arguments, and fostering open dialogue. Advanced expertise in Lean principles, Statistical Process Control (SPC), 8D problem-solving, and Value Stream Mapping (VSM), with the ability to implement and facilitate these tools effectively. Skilled in using standard business and manufacturing software, such as ERP systems (e.g., SAP), project management tools (e.g., MS Project), and workforce modelling platforms. Proficient in methodologies like Value Stream Mapping, Strategic Goal Alignment (Hoshin Kanri), Structured Problem Solving, and Agile Visual Management to enhance operational efficiency. Strong understanding of manufacturing processes and products across multiple departments, with the ability to connect workflows to operational goals. Education • Degree or equivalent experience in relevant Operations, Business Management, Supply Chain Management subject • Proven experience in a Senior Operations Management position Why Siemens Healthineers? We offer excellent benefits, including 26 days holiday + Bank Holidays (with the option to buy/sell more) , annual bonus, BUPA, up to 10% employer pension contribution , onsite gym, subsidized restaurant, share scheme, and free onsite parking. Be part of a team that is pushing boundaries in healthcare innovation . Our projects impact lives globally, from diagnostics and image-guided therapy to cancer care and advanced manufacturing technologies. Our culture: At Siemens Healthineers, we pioneer breakthroughs in healthcare. For everyone. Everywhere. Sustainabily We are an inclusive and diverse global team of over 71,000 employees across 70+ countries. Together, we are passionate about improving lives through innovation and collaboration. If this sounds like the opportunity you've been waiting for, join us and help shape the future of healthcare manufacturing! How we work: When you join Siemens Healthineers, you become one in a global team of scientists, clinicians, developers, researchers, professionals, and skilled specialists, who believe in each individual's potential to contribute with diverse ideas. We are from different backgrounds, cultures, religions, political and/or sexual orientations, and work together, to fight the world's most threatening diseases and enable access to care, united by one purpose: to pioneer breakthroughs in healthcare. For everyone. Everywhere. Sustainably. Check our Careers Site at Siemens Healthineers - Oxford url removed As an equal opportunity employer, we welcome applications from individuals with disabilities. We care about your data privacy and take compliance with GDPR as well as other data protection legislation seriously. For this reason, we ask you not to send us your CV or resume by email. Please create a profile within our talent community and subscribe to personalized job alert that will keep you posted about new opportunities. To all recruitment agencies: Siemens Healthineers' recruitment is internally managed, with external support permitted only when a qualified supplier has established a formal contract with us. Unsolicited candidate submissions and referrals, absent a current supplier contract, do not establish consent and are ineligible for fees. We delete and destroy unsolicited information, thus, would recommend you refrain from any such practices. Your adherence to our policies is appreciated.
Jan 22, 2025
Full time
Head of Operations Siemens Healthineers Magnet Technology has an exciting opportunity for an experienced leader to lead, motivate, and support a large team in a fast-paced and demanding environment. In this role, you will be responsible for delivering the Magnet Technology product portfolio to meet customer requirements with the highest standards of quality and cost efficiency. You will work across all manufacturing areas within Supply Chain Management, driving operational excellence and striving for world-class manufacturing status. By leading continuous improvement initiatives and eliminating waste, you will play a crucial role in maximising profitability and ensuring the ongoing success of the existing site in Eynsham, Oxford and our new 4.0 production facility based in Bicester, Oxfordshire. Your tasks and responsibilities: Collaborate with the Senior Leadership Team to shape strategic plans, identify business opportunities, and develop innovative strategies for long-term success, ensuring alignment with the Operations team. Develop and manage financial budgets to achieve key performance indicators (KPIs) such as revenue, profit, and cost of quality, driving financial and operational performance. Build a high-performance culture by promoting ownership, accountability, and adherence to safety (EHS) and operational excellence, ensuring the team's objectives align with overarching strategic themes. Ensure workforce planning meets customer demands by optimising labour resource capacity and implementing robust training programs to support current and future production needs. Evolve the manufacturing facility in line with long-term strategies and new product requirements, maintaining flexibility and adaptability in operations. Champion a world-class Quality culture by upholding stringent quality standards, resolving manufacturing challenges, and embedding a culture of continuous improvement. Lead initiatives to drive Lean manufacturing principles and best practices, fostering efficiency, waste reduction, and the pursuit of operational excellence. Develop, maintain, and utilise scorecards and KPIs to monitor performance, support decision-making, and drive improvement across all operational areas. Your qualifications and experience: A role model in clear, logical communication at all organisational levels, capable of leading discussions, presenting structured arguments, and fostering open dialogue. Advanced expertise in Lean principles, Statistical Process Control (SPC), 8D problem-solving, and Value Stream Mapping (VSM), with the ability to implement and facilitate these tools effectively. Skilled in using standard business and manufacturing software, such as ERP systems (e.g., SAP), project management tools (e.g., MS Project), and workforce modelling platforms. Proficient in methodologies like Value Stream Mapping, Strategic Goal Alignment (Hoshin Kanri), Structured Problem Solving, and Agile Visual Management to enhance operational efficiency. Strong understanding of manufacturing processes and products across multiple departments, with the ability to connect workflows to operational goals. Education • Degree or equivalent experience in relevant Operations, Business Management, Supply Chain Management subject • Proven experience in a Senior Operations Management position Why Siemens Healthineers? We offer excellent benefits, including 26 days holiday + Bank Holidays (with the option to buy/sell more) , annual bonus, BUPA, up to 10% employer pension contribution , onsite gym, subsidized restaurant, share scheme, and free onsite parking. Be part of a team that is pushing boundaries in healthcare innovation . Our projects impact lives globally, from diagnostics and image-guided therapy to cancer care and advanced manufacturing technologies. Our culture: At Siemens Healthineers, we pioneer breakthroughs in healthcare. For everyone. Everywhere. Sustainabily We are an inclusive and diverse global team of over 71,000 employees across 70+ countries. Together, we are passionate about improving lives through innovation and collaboration. If this sounds like the opportunity you've been waiting for, join us and help shape the future of healthcare manufacturing! How we work: When you join Siemens Healthineers, you become one in a global team of scientists, clinicians, developers, researchers, professionals, and skilled specialists, who believe in each individual's potential to contribute with diverse ideas. We are from different backgrounds, cultures, religions, political and/or sexual orientations, and work together, to fight the world's most threatening diseases and enable access to care, united by one purpose: to pioneer breakthroughs in healthcare. For everyone. Everywhere. Sustainably. Check our Careers Site at Siemens Healthineers - Oxford url removed As an equal opportunity employer, we welcome applications from individuals with disabilities. We care about your data privacy and take compliance with GDPR as well as other data protection legislation seriously. For this reason, we ask you not to send us your CV or resume by email. Please create a profile within our talent community and subscribe to personalized job alert that will keep you posted about new opportunities. To all recruitment agencies: Siemens Healthineers' recruitment is internally managed, with external support permitted only when a qualified supplier has established a formal contract with us. Unsolicited candidate submissions and referrals, absent a current supplier contract, do not establish consent and are ineligible for fees. We delete and destroy unsolicited information, thus, would recommend you refrain from any such practices. Your adherence to our policies is appreciated.
Job Title: Scientist- Physical Testing Contract: initial 6 months Location: Deeside Pay: 14.84 per hour SRG are partnered with a global medical products and technologies company. Our client is focused on solutions for the management of chronic conditions, with leading positions in advanced wound care, ostomy care, continence care, and infusion care. We are seeking a Physical Testing Scientist to join their Deeside team. Duties and Responsibilities: Working within a controlled ISO13485 and ISO9001 Laboratory quality system and in accordance with GLP/GMP procedures. Design, plan and execute Physical testing in support of R&D activities and base business projects in accordance with applicable and procedures and guidelines. Involvement in the development and validation of new physical testing methods. Effective organization of assigned workload; ensures integrity of all data generated and timely/accurate provision of results to GLP standards. Accurate recording and analysis of laboratory data in accordance with good documentation practices Perform detailed laboratory investigations to determine the root cause of atypical and out of specification results, apply corrective and preventative actions and author concise investigation reports. Author validation protocols, reports and technical documents for medical Devices/ Pharmaceutical products Assist in laboratory test method/procedural revisions. Responsible for standard laboratory routines, equipment calibration, maintenance replenishment etc. Ensures lab compliance with applicable cGMP regulations and SOPs/TD's. Involvement in change control activities and associated actions. Requirements: Bachelor's Degree in a relevant science related discipline. Experience working in a laboratory environment out with academia is desired Experience within Medical Devices/ Pharmaceutical Industry is preferred. Understanding of compliance with FDA and European regulations relating to Quality Systems (ISO13485:2016, ISO9001:2000, FDA 21 CFR part 820) and GMP Guidelines and Regulation. Good working knowledge of Microsoft Office, specifically Word and Excel. A detailed understanding of common statistical analysis and experience with MiniTab desirable. Have an understanding of the role of Physical Testing within the product development process for both new product development and existing product development of medical devices / pharmaceuticals Commands good physical testing and problem-solving skills and demonstrates an understanding of the steps involved in initiating and completing a variety of physical testing tasks to support key R&D projects. Statically analyze data for reporting to senior physical testing staff Effectively communicate both oral and written scientific and technical data to peers and managers A forward-thinking team-player who willingly accepts new challenges and works to tight deadlines. Commands Flexibility - ability to prioritize, manage multiple tasks and react/respond positively to changes in priority and workload. Accurate with excellent attention to detail. Decisive thinker; ability to make decisions and recommendations using own initiative. Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.
Jan 22, 2025
Seasonal
Job Title: Scientist- Physical Testing Contract: initial 6 months Location: Deeside Pay: 14.84 per hour SRG are partnered with a global medical products and technologies company. Our client is focused on solutions for the management of chronic conditions, with leading positions in advanced wound care, ostomy care, continence care, and infusion care. We are seeking a Physical Testing Scientist to join their Deeside team. Duties and Responsibilities: Working within a controlled ISO13485 and ISO9001 Laboratory quality system and in accordance with GLP/GMP procedures. Design, plan and execute Physical testing in support of R&D activities and base business projects in accordance with applicable and procedures and guidelines. Involvement in the development and validation of new physical testing methods. Effective organization of assigned workload; ensures integrity of all data generated and timely/accurate provision of results to GLP standards. Accurate recording and analysis of laboratory data in accordance with good documentation practices Perform detailed laboratory investigations to determine the root cause of atypical and out of specification results, apply corrective and preventative actions and author concise investigation reports. Author validation protocols, reports and technical documents for medical Devices/ Pharmaceutical products Assist in laboratory test method/procedural revisions. Responsible for standard laboratory routines, equipment calibration, maintenance replenishment etc. Ensures lab compliance with applicable cGMP regulations and SOPs/TD's. Involvement in change control activities and associated actions. Requirements: Bachelor's Degree in a relevant science related discipline. Experience working in a laboratory environment out with academia is desired Experience within Medical Devices/ Pharmaceutical Industry is preferred. Understanding of compliance with FDA and European regulations relating to Quality Systems (ISO13485:2016, ISO9001:2000, FDA 21 CFR part 820) and GMP Guidelines and Regulation. Good working knowledge of Microsoft Office, specifically Word and Excel. A detailed understanding of common statistical analysis and experience with MiniTab desirable. Have an understanding of the role of Physical Testing within the product development process for both new product development and existing product development of medical devices / pharmaceuticals Commands good physical testing and problem-solving skills and demonstrates an understanding of the steps involved in initiating and completing a variety of physical testing tasks to support key R&D projects. Statically analyze data for reporting to senior physical testing staff Effectively communicate both oral and written scientific and technical data to peers and managers A forward-thinking team-player who willingly accepts new challenges and works to tight deadlines. Commands Flexibility - ability to prioritize, manage multiple tasks and react/respond positively to changes in priority and workload. Accurate with excellent attention to detail. Decisive thinker; ability to make decisions and recommendations using own initiative. Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.
Graduate Chemist looking to pivot into a commercial role required in Cambridgeshire. Great opportunity to kick-start a career in technical sales and undertake extensive travel across the UK and Europe. Title: Business Development Executive - Graduate Location: Cambridgeshire Salary: 27,000 per annum + benefits Term: Permanent SRG is working with a well-respected, global company who supply a huge range of speciality chemicals and pharmaceutical intermediates to a wide range of industries including pharmaceutical, biotechnology and academic institutions. With a genuine drive for innovation, they are now looking for a Chemistry graduate to join them as a Business Development Executive and drive sales of their products to facilitate cutting-edge research. Adopting a value-based sales approach, you will travel extensively across the UK and Europe, meeting customers to continually develop and grow customer relationships. This would be an amazing opportunity for a Chemistry graduate looking to utilise their degree outside the lab and pivot into a customer-facing, commercial role. Benefits: Multinational chemicals supplier with a strong focus on innovation and a small, dynamic commercial team where you can really make a difference. Lots of opportunities for international travel, generous annual bonus scheme (up to 10%), relocation package, Christmas shutdown, flexible working, annual salary reviews and free on-site parking. Role / Description Building existing customer relationships to ensure customer satisfaction and ultimately look to increase account spend Travelling approximately 50% of your time across the UK and Europe to visit customer sites Generating leads to identify new potential customers in your region Using a variety of methods to target the new potential UK & European customers Spending approx. 80% of your time managing existing accounts and 20% new business development Maintaining and updating the database to build a global customer pool Keeping abreast of product development & trends in specific industry and project areas Requirements Degree-level qualified (or equivalent) in Chemistry, Biochemistry, Natural Sciences, Forensic Science or a closely related subject Full, clean UK driving licence. Willing, able and excited to travel across the UK and Europe A proactive approach and drive to deliver exceptional customer service Excellent communication and interpersonal skills Fluent in English, both written and verbal - fluency in other European languages would be highly desirable but not essential If you would like to apply for this position, please use the link provided. Alternatively, please email a copy of your CV to For more information regarding this position or any others, please call Amy on (phone number removed). If you have a scientific background and this position is not relevant / suitable for you, please feel free to get in touch or visit (url removed) to view our other vacancies. SRG is the UK's number one recruitment company specialising in the scientific, engineering, clinical, pharmaceutical, food/FMCG, energy & renewables, biotech, chemical and medical device sectors. As scientists ourselves, our specialist sector knowledge and our passion are second to none. It's this combination that makes us different. We're committed to providing outstanding temporary, contract and permanent career opportunities of all levels for our candidates and a comprehensive range of expert strategic recruitment services for our clients. Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.
Jan 22, 2025
Full time
Graduate Chemist looking to pivot into a commercial role required in Cambridgeshire. Great opportunity to kick-start a career in technical sales and undertake extensive travel across the UK and Europe. Title: Business Development Executive - Graduate Location: Cambridgeshire Salary: 27,000 per annum + benefits Term: Permanent SRG is working with a well-respected, global company who supply a huge range of speciality chemicals and pharmaceutical intermediates to a wide range of industries including pharmaceutical, biotechnology and academic institutions. With a genuine drive for innovation, they are now looking for a Chemistry graduate to join them as a Business Development Executive and drive sales of their products to facilitate cutting-edge research. Adopting a value-based sales approach, you will travel extensively across the UK and Europe, meeting customers to continually develop and grow customer relationships. This would be an amazing opportunity for a Chemistry graduate looking to utilise their degree outside the lab and pivot into a customer-facing, commercial role. Benefits: Multinational chemicals supplier with a strong focus on innovation and a small, dynamic commercial team where you can really make a difference. Lots of opportunities for international travel, generous annual bonus scheme (up to 10%), relocation package, Christmas shutdown, flexible working, annual salary reviews and free on-site parking. Role / Description Building existing customer relationships to ensure customer satisfaction and ultimately look to increase account spend Travelling approximately 50% of your time across the UK and Europe to visit customer sites Generating leads to identify new potential customers in your region Using a variety of methods to target the new potential UK & European customers Spending approx. 80% of your time managing existing accounts and 20% new business development Maintaining and updating the database to build a global customer pool Keeping abreast of product development & trends in specific industry and project areas Requirements Degree-level qualified (or equivalent) in Chemistry, Biochemistry, Natural Sciences, Forensic Science or a closely related subject Full, clean UK driving licence. Willing, able and excited to travel across the UK and Europe A proactive approach and drive to deliver exceptional customer service Excellent communication and interpersonal skills Fluent in English, both written and verbal - fluency in other European languages would be highly desirable but not essential If you would like to apply for this position, please use the link provided. Alternatively, please email a copy of your CV to For more information regarding this position or any others, please call Amy on (phone number removed). If you have a scientific background and this position is not relevant / suitable for you, please feel free to get in touch or visit (url removed) to view our other vacancies. SRG is the UK's number one recruitment company specialising in the scientific, engineering, clinical, pharmaceutical, food/FMCG, energy & renewables, biotech, chemical and medical device sectors. As scientists ourselves, our specialist sector knowledge and our passion are second to none. It's this combination that makes us different. We're committed to providing outstanding temporary, contract and permanent career opportunities of all levels for our candidates and a comprehensive range of expert strategic recruitment services for our clients. Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.
Role: AI/ML Engineer Location: Glasgow OR Dundee Salary: £70,000 max Remote work: This is a hybrid role and lots of our software team are Glasgow based and only come to the office a few times per month. We are looking at opening a hub in Glasgow as we know there is more talent there, so we would want them ideally working from the central Glasgow hub for 1-3 days per week and Dundee very occasionally. The company: We design and develop across a full stack of disciplines - Mechanical, Electronic, Electrical, and Software Engineering. Within our Digital team, we specialize in developing software for IoT edge devices, cloud services, Front End UI, AI/ML models in computer vision, and data analysis. We take pride in fostering a collaborative and supportive work environment with a focus on both individual and team development. Role Description and Purpose We are seeking a talented and enthusiastic AI/ML Engineer to join our dynamic team at an exciting stage of our digital journey. As a mid-sized enterprise, you'll have the opportunity to work closely with colleagues across the business, gaining visibility and recognition for your contributions. If you thrive in a collaborative environment and enjoy making an impact, this role is for you. As an AI/ML Engineer, you'll work alongside experienced professionals and gain hands-on experience throughout the entire product development life cycle. Responsibilities Design, develop, and deploy high-performing machine learning models for computer vision applications, such as image classification, object detection, image segmentation, and video analysis. Conduct data analysis, feature engineering, and model selection to optimize performance and accuracy. Collaborate with cross-functional teams (eg, data scientists, software engineers, and product managers) to translate business requirements into technical solutions. Develop and maintain robust, scalable machine learning pipelines using cloud services (eg, AWS SageMaker, EC2, S3, Lambda) and other relevant technologies. Stay updated on advancements in computer vision and machine learning research, exploring new opportunities to apply these innovations to our projects. Contribute to the development and improvement of machine learning infrastructure and best practices. Mentor junior team members and promote a culture of innovation and continuous learning. Experience & Skills Master's or Ph.D. in Computer Science, Computer Engineering, or a related field, with a strong focus on machine learning. 3+ years of professional experience in developing and deploying machine learning models, particularly for computer vision applications. Strong understanding of deep learning concepts and architectures (eg, CNNs, RNNs, Transformers) and their practical applications. Proficiency in Python and experience with machine learning libraries (eg, TensorFlow, PyTorch, scikit-learn). Experience with cloud services, including AWS SageMaker, EC2, S3, Lambda, etc. Familiarity with cloud-native development and deployment practices. Ability to work independently as well as collaboratively. A strong passion for machine learning and a commitment to continuous growth. General Skills Excellent problem-solving abilities and creative thinking. Passion for learning and staying current with industry trends and best practices. Strong communication and teamwork skills, with openness and transparency as default. Initiative and a proactive approach to tasks. Flexibility and a focus on contributing to organizational success. Bonus Points Knowledge of MLOps principles and best practices. Experience with distributed computing and large-scale data processing. Familiarity with industry-specific applications of computer vision or machine learning. Benefits: 37.5 hours working week 33 days annual leave Death in service at 4 x your annual salary Employee Assistance Programme Enhanced parental leave policies Birthday day off Paid bereavement leave Paid sick leave Company pension scheme Cycle to work scheme How to apply? Please send a CV to (see below) People Source Consulting Ltd is acting as an Employment Agency in relation to this vacancy. People Source specialise in technology recruitment across niche markets including Information Technology, Digital TV, Digital Marketing, Project and Programme Management, SAP, Digital and Consumer Electronics, Air Traffic Management, Management Consultancy, Business Intelligence, Manufacturing, Telecoms, Public Sector, Healthcare, Finance and Oil & Gas.
Jan 22, 2025
Full time
Role: AI/ML Engineer Location: Glasgow OR Dundee Salary: £70,000 max Remote work: This is a hybrid role and lots of our software team are Glasgow based and only come to the office a few times per month. We are looking at opening a hub in Glasgow as we know there is more talent there, so we would want them ideally working from the central Glasgow hub for 1-3 days per week and Dundee very occasionally. The company: We design and develop across a full stack of disciplines - Mechanical, Electronic, Electrical, and Software Engineering. Within our Digital team, we specialize in developing software for IoT edge devices, cloud services, Front End UI, AI/ML models in computer vision, and data analysis. We take pride in fostering a collaborative and supportive work environment with a focus on both individual and team development. Role Description and Purpose We are seeking a talented and enthusiastic AI/ML Engineer to join our dynamic team at an exciting stage of our digital journey. As a mid-sized enterprise, you'll have the opportunity to work closely with colleagues across the business, gaining visibility and recognition for your contributions. If you thrive in a collaborative environment and enjoy making an impact, this role is for you. As an AI/ML Engineer, you'll work alongside experienced professionals and gain hands-on experience throughout the entire product development life cycle. Responsibilities Design, develop, and deploy high-performing machine learning models for computer vision applications, such as image classification, object detection, image segmentation, and video analysis. Conduct data analysis, feature engineering, and model selection to optimize performance and accuracy. Collaborate with cross-functional teams (eg, data scientists, software engineers, and product managers) to translate business requirements into technical solutions. Develop and maintain robust, scalable machine learning pipelines using cloud services (eg, AWS SageMaker, EC2, S3, Lambda) and other relevant technologies. Stay updated on advancements in computer vision and machine learning research, exploring new opportunities to apply these innovations to our projects. Contribute to the development and improvement of machine learning infrastructure and best practices. Mentor junior team members and promote a culture of innovation and continuous learning. Experience & Skills Master's or Ph.D. in Computer Science, Computer Engineering, or a related field, with a strong focus on machine learning. 3+ years of professional experience in developing and deploying machine learning models, particularly for computer vision applications. Strong understanding of deep learning concepts and architectures (eg, CNNs, RNNs, Transformers) and their practical applications. Proficiency in Python and experience with machine learning libraries (eg, TensorFlow, PyTorch, scikit-learn). Experience with cloud services, including AWS SageMaker, EC2, S3, Lambda, etc. Familiarity with cloud-native development and deployment practices. Ability to work independently as well as collaboratively. A strong passion for machine learning and a commitment to continuous growth. General Skills Excellent problem-solving abilities and creative thinking. Passion for learning and staying current with industry trends and best practices. Strong communication and teamwork skills, with openness and transparency as default. Initiative and a proactive approach to tasks. Flexibility and a focus on contributing to organizational success. Bonus Points Knowledge of MLOps principles and best practices. Experience with distributed computing and large-scale data processing. Familiarity with industry-specific applications of computer vision or machine learning. Benefits: 37.5 hours working week 33 days annual leave Death in service at 4 x your annual salary Employee Assistance Programme Enhanced parental leave policies Birthday day off Paid bereavement leave Paid sick leave Company pension scheme Cycle to work scheme How to apply? Please send a CV to (see below) People Source Consulting Ltd is acting as an Employment Agency in relation to this vacancy. People Source specialise in technology recruitment across niche markets including Information Technology, Digital TV, Digital Marketing, Project and Programme Management, SAP, Digital and Consumer Electronics, Air Traffic Management, Management Consultancy, Business Intelligence, Manufacturing, Telecoms, Public Sector, Healthcare, Finance and Oil & Gas.
Our global Energy client are seeking a experienced Data Scientist to provide data analytical support to their traders. In this role you will be working on the trade floor interacting with traders and providing forecasting models. Please note this will be 3 days a week onsite in London. Expereince Energy Data Science Trading/trade floor Job Title: Data Scientist Location: London, UK Rate/Salary: .00 GBP Yearly Job Type: Permanent Trading as TEKsystems. Allegis Group Limited, Bracknell, RG12 1RT, United Kingdom. No Allegis Group Limited operates as an Employment Business and Employment Agency as set out in the Conduct of Employment Agencies and Employment Businesses Regulations 2003. TEKsystems is a company within the Allegis Group network of companies (collectively referred to as "Allegis Group"). Aerotek, Aston Carter, EASi, Talentis Solutions, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available at our website. To access our Online Privacy Notice, which explains what information we may collect, use, share, and store about you, and describes your rights and choices about this, please go our website. We are part of a global network of companies and as a result, the personal data you provide will be shared within Allegis Group and transferred and processed outside the UK, Switzerland and European Economic Area subject to the protections described in the Allegis Group Online Privacy Notice. We store personal data in the UK, EEA, Switzerland and the USA. If you would like to exercise your privacy rights, please visit the "Contacting Us" section of our Online Privacy Notice on our website for details on how to contact us. To protect your privacy and security, we may take steps to verify your identity, such as a password and user ID if there is an account associated with your request, or identifying information such as your address or date of birth, before proceeding with your request. commitments under the UK Data Protection Act, EU-U.S. Privacy Shield or the Swiss-U.S. Privacy Shield.
Jan 22, 2025
Full time
Our global Energy client are seeking a experienced Data Scientist to provide data analytical support to their traders. In this role you will be working on the trade floor interacting with traders and providing forecasting models. Please note this will be 3 days a week onsite in London. Expereince Energy Data Science Trading/trade floor Job Title: Data Scientist Location: London, UK Rate/Salary: .00 GBP Yearly Job Type: Permanent Trading as TEKsystems. Allegis Group Limited, Bracknell, RG12 1RT, United Kingdom. No Allegis Group Limited operates as an Employment Business and Employment Agency as set out in the Conduct of Employment Agencies and Employment Businesses Regulations 2003. TEKsystems is a company within the Allegis Group network of companies (collectively referred to as "Allegis Group"). Aerotek, Aston Carter, EASi, Talentis Solutions, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available at our website. To access our Online Privacy Notice, which explains what information we may collect, use, share, and store about you, and describes your rights and choices about this, please go our website. We are part of a global network of companies and as a result, the personal data you provide will be shared within Allegis Group and transferred and processed outside the UK, Switzerland and European Economic Area subject to the protections described in the Allegis Group Online Privacy Notice. We store personal data in the UK, EEA, Switzerland and the USA. If you would like to exercise your privacy rights, please visit the "Contacting Us" section of our Online Privacy Notice on our website for details on how to contact us. To protect your privacy and security, we may take steps to verify your identity, such as a password and user ID if there is an account associated with your request, or identifying information such as your address or date of birth, before proceeding with your request. commitments under the UK Data Protection Act, EU-U.S. Privacy Shield or the Swiss-U.S. Privacy Shield.
Manufacturing Technician- Weekdays rotating shift (FTC) Siemens Healthineers Magnet Technology has an exciting opportunity for Manufacturing Technicians to join our established site in Eynsham, Oxford, and our soon-to-open, state-of-the-art Industry 4.0 production facility in Bicester, Oxfordshire. If you are conscientious, responsible, hardworking, and have an aptitude for production work with a passion for healthcare, we want to hear from you! Siemens Healthineers is a global leader in a rapidly growing market and is expanding its manufacturing capability in Bicester by 2026. We are looking for Manufacturing Technicians to join our inclusive teams now on Early, Late, Night, and Weekend shifts. These roles are offered on an initial 12-month FTC, based in Oxfordshire, and come with a competitive salary, generous shift allowances, bonuses, and benefits Role & Responsibilities: As a flexible Manufacturing Technician, you will be responsible for ensuring that superconducting magnets are manufactured to a high standard. Following health and safety standards. Maintaining a clean workstation in line with our 5S principles. Assembling products and parts following production instructions and specifications. Operating machinery and production line equipment (training provided) Meeting production targets. Reporting any issues to the supervisor on duty. Performing other tasks as assigned S kills and Attributes: Strong attention to detail and commitment to producing high-quality work. Ability to follow detailed production instructions and specifications accurately. Adaptability and willingness to learn Team player with effective communication skills to report issues and collaborate with supervisors. Why Siemens Healthineers? We offer excellent benefits, including 26 days holiday + Bank Holidays (with the option to buy/sell more) , annual bonus, BUPA, up to 10% employer pension contribution , onsite gym, subsidized restaurant, share scheme, and free onsite parking. Be part of a team that is pushing boundaries in healthcare innovation . Our projects impact lives globally, from diagnostics and image-guided therapy to cancer care and advanced manufacturing technologies. Our culture: At Siemens Healthineers, we pioneer breakthroughs in healthcare. For everyone. Everywhere. Sustainabily We are an inclusive and diverse global team of over 71,000 employees across 70+ countries . Together, we are passionate about improving lives through innovation and collaboration. If this sounds like the opportunity you've been waiting for, join us and help shape the future of healthcare manufacturing! How we work: When you join Siemens Healthineers, you become one in a global team of scientists, clinicians, developers, researchers, professionals, and skilled specialists, who believe in each individual's potential to contribute with diverse ideas. We are from different backgrounds, cultures, religions, political and/or sexual orientations, and work together, to fight the world's most threatening diseases and enable access to care, united by one purpose: to pioneer breakthroughs in healthcare. For everyone. Everywhere. Sustainably. Check our Careers Site at Siemens Healthineers - Oxford url removed As an equal opportunity employer, we welcome applications from individuals with disabilities. We care about your data privacy and take compliance with GDPR as well as other data protection legislation seriously. For this reason, we ask you not to send us your CV or resume by email. Please create a profile within our talent community and subscribe to personalized job alert that will keep you posted about new opportunities. To all recruitment agencies: Siemens Healthineers' recruitment is internally managed, with external support permitted only when a qualified supplier has established a formal contract with us. Unsolicited candidate submissions and referrals, absent a current supplier contract, do not establish consent and are ineligible for fees. We delete and destroy unsolicited information, thus, would recommend you refrain from any such practices. Your adherence to our policies is appreciated.
Jan 22, 2025
Full time
Manufacturing Technician- Weekdays rotating shift (FTC) Siemens Healthineers Magnet Technology has an exciting opportunity for Manufacturing Technicians to join our established site in Eynsham, Oxford, and our soon-to-open, state-of-the-art Industry 4.0 production facility in Bicester, Oxfordshire. If you are conscientious, responsible, hardworking, and have an aptitude for production work with a passion for healthcare, we want to hear from you! Siemens Healthineers is a global leader in a rapidly growing market and is expanding its manufacturing capability in Bicester by 2026. We are looking for Manufacturing Technicians to join our inclusive teams now on Early, Late, Night, and Weekend shifts. These roles are offered on an initial 12-month FTC, based in Oxfordshire, and come with a competitive salary, generous shift allowances, bonuses, and benefits Role & Responsibilities: As a flexible Manufacturing Technician, you will be responsible for ensuring that superconducting magnets are manufactured to a high standard. Following health and safety standards. Maintaining a clean workstation in line with our 5S principles. Assembling products and parts following production instructions and specifications. Operating machinery and production line equipment (training provided) Meeting production targets. Reporting any issues to the supervisor on duty. Performing other tasks as assigned S kills and Attributes: Strong attention to detail and commitment to producing high-quality work. Ability to follow detailed production instructions and specifications accurately. Adaptability and willingness to learn Team player with effective communication skills to report issues and collaborate with supervisors. Why Siemens Healthineers? We offer excellent benefits, including 26 days holiday + Bank Holidays (with the option to buy/sell more) , annual bonus, BUPA, up to 10% employer pension contribution , onsite gym, subsidized restaurant, share scheme, and free onsite parking. Be part of a team that is pushing boundaries in healthcare innovation . Our projects impact lives globally, from diagnostics and image-guided therapy to cancer care and advanced manufacturing technologies. Our culture: At Siemens Healthineers, we pioneer breakthroughs in healthcare. For everyone. Everywhere. Sustainabily We are an inclusive and diverse global team of over 71,000 employees across 70+ countries . Together, we are passionate about improving lives through innovation and collaboration. If this sounds like the opportunity you've been waiting for, join us and help shape the future of healthcare manufacturing! How we work: When you join Siemens Healthineers, you become one in a global team of scientists, clinicians, developers, researchers, professionals, and skilled specialists, who believe in each individual's potential to contribute with diverse ideas. We are from different backgrounds, cultures, religions, political and/or sexual orientations, and work together, to fight the world's most threatening diseases and enable access to care, united by one purpose: to pioneer breakthroughs in healthcare. For everyone. Everywhere. Sustainably. Check our Careers Site at Siemens Healthineers - Oxford url removed As an equal opportunity employer, we welcome applications from individuals with disabilities. We care about your data privacy and take compliance with GDPR as well as other data protection legislation seriously. For this reason, we ask you not to send us your CV or resume by email. Please create a profile within our talent community and subscribe to personalized job alert that will keep you posted about new opportunities. To all recruitment agencies: Siemens Healthineers' recruitment is internally managed, with external support permitted only when a qualified supplier has established a formal contract with us. Unsolicited candidate submissions and referrals, absent a current supplier contract, do not establish consent and are ineligible for fees. We delete and destroy unsolicited information, thus, would recommend you refrain from any such practices. Your adherence to our policies is appreciated.
Data Scientist - ML & AI projects - Kent/Sussex Boarder Competitive annual salary of between 50,000 and 65,000 dependent on experience Hybrid working - West Kent office base (2 days a week currently, expected to increase to 3 days) Reference J12910 No Visa Sponsorship Available Are you a talented and passionate Data Scientist looking to make a real impact in the healthcare industry? Our client is seeking a highly skilled individual to join our dynamic and innovative Data Science Team. You'll have the opportunity to leverage your expertise in data analysis and machine learning to drive actionable insights and contribute to the development of cutting-edge solutions that improve the health and well-being of their customers. What you'll be doing: Gather and clean large volumes of structured and unstructured data from various sources. Apply statistical, machine learning and traditional and generative AI techniques to analyse data, identify patterns, and develop predictive models. Create visual representations of data to communicate insights and findings to non-technical stakeholders. Interpret data analysis results to provide actionable insights and recommendations for business decisions. Work closely with cross-functional teams to understand business needs, develop solutions, and implement data-driven strategies. Stay updated with the latest trends and advancements in data science, machine learning, and related technologies to improve methodologies and processes. Ensure compliance with data privacy regulations and ethical standards in handling sensitive information. What you'll bring: Previous applied experience within a data science role. Demonstratable knowledge of extracting business value from data science using both quantitative and qualitative metrics. Strong mathematical and statistical background. An ability to understand and translate data into actionable insights for the business. Strong working knowledge of Python and data science packages such as Scikit learn, Keras, Tensor flow and PySpark. Good understanding of industry standard MLOps capabilities. Understanding of the financial industry, in particular insurance, would be advantageous. If you're excited about the prospect of using data to make a meaningful difference in people's lives, we want to hear from you! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data. For more information, visit our website: (url removed)
Jan 22, 2025
Full time
Data Scientist - ML & AI projects - Kent/Sussex Boarder Competitive annual salary of between 50,000 and 65,000 dependent on experience Hybrid working - West Kent office base (2 days a week currently, expected to increase to 3 days) Reference J12910 No Visa Sponsorship Available Are you a talented and passionate Data Scientist looking to make a real impact in the healthcare industry? Our client is seeking a highly skilled individual to join our dynamic and innovative Data Science Team. You'll have the opportunity to leverage your expertise in data analysis and machine learning to drive actionable insights and contribute to the development of cutting-edge solutions that improve the health and well-being of their customers. What you'll be doing: Gather and clean large volumes of structured and unstructured data from various sources. Apply statistical, machine learning and traditional and generative AI techniques to analyse data, identify patterns, and develop predictive models. Create visual representations of data to communicate insights and findings to non-technical stakeholders. Interpret data analysis results to provide actionable insights and recommendations for business decisions. Work closely with cross-functional teams to understand business needs, develop solutions, and implement data-driven strategies. Stay updated with the latest trends and advancements in data science, machine learning, and related technologies to improve methodologies and processes. Ensure compliance with data privacy regulations and ethical standards in handling sensitive information. What you'll bring: Previous applied experience within a data science role. Demonstratable knowledge of extracting business value from data science using both quantitative and qualitative metrics. Strong mathematical and statistical background. An ability to understand and translate data into actionable insights for the business. Strong working knowledge of Python and data science packages such as Scikit learn, Keras, Tensor flow and PySpark. Good understanding of industry standard MLOps capabilities. Understanding of the financial industry, in particular insurance, would be advantageous. If you're excited about the prospect of using data to make a meaningful difference in people's lives, we want to hear from you! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data. For more information, visit our website: (url removed)
Tenth Revolution Group
Cheltenham, Gloucestershire
Lead Data Scientist - 75,000 - Hybrid - Cheltenham Company Overview: My client, an innovative consultancy firm, is currently hiring for a Lead Data Scientist. They are a boutique technical and business consultancy that has been making significant strides across multiple industries. Specialising in data analytics and cyber security, they are known for their ability to quickly untangle complex problems into implementable outcomes. This is an amazing opportunity for professional, and personal, progression in a dynamic environment where you will be taking charge of a multitude of situations and putting your stamp onto the industry, and shape the future of a growing business. Role Overview: As a Lead Data Scientist, you will be a key member of a dynamic team, leveraging your expertise in data science, machine learning, and data engineering to develop innovative solutions. Your hands-on experience with cloud technologies and data modelling will be essential as you tackle complex client challenges and deliver impactful results. In this client-facing role, you will lead projects, acting as the technical and engagement lead. You will collaborate closely with cross-functional teams to ensure seamless project execution. Your ability to navigate ambiguity, solve data-related issues, and communicate effectively will drive success. This is an exciting opportunity to work with a forward-thinking team, stay ahead of industry trends, and make a significant impact with your technical leadership and innovative solutions. Requirements 5+ Years Data Science experience Experience leading delivery on a range of products Experience on cloud-based infrastructure Engineering experience using CI/CD etc. Interviews ongoing don't miss your chance to secure a role working with cutting edge technology while maintaining exceptional work-life balance. Contact removed) or on (phone number removed). Data Science, Consulting, Consultancy, CI/CD, Engineering, Data, ML, Machine Learning, AI, IaC
Jan 22, 2025
Full time
Lead Data Scientist - 75,000 - Hybrid - Cheltenham Company Overview: My client, an innovative consultancy firm, is currently hiring for a Lead Data Scientist. They are a boutique technical and business consultancy that has been making significant strides across multiple industries. Specialising in data analytics and cyber security, they are known for their ability to quickly untangle complex problems into implementable outcomes. This is an amazing opportunity for professional, and personal, progression in a dynamic environment where you will be taking charge of a multitude of situations and putting your stamp onto the industry, and shape the future of a growing business. Role Overview: As a Lead Data Scientist, you will be a key member of a dynamic team, leveraging your expertise in data science, machine learning, and data engineering to develop innovative solutions. Your hands-on experience with cloud technologies and data modelling will be essential as you tackle complex client challenges and deliver impactful results. In this client-facing role, you will lead projects, acting as the technical and engagement lead. You will collaborate closely with cross-functional teams to ensure seamless project execution. Your ability to navigate ambiguity, solve data-related issues, and communicate effectively will drive success. This is an exciting opportunity to work with a forward-thinking team, stay ahead of industry trends, and make a significant impact with your technical leadership and innovative solutions. Requirements 5+ Years Data Science experience Experience leading delivery on a range of products Experience on cloud-based infrastructure Engineering experience using CI/CD etc. Interviews ongoing don't miss your chance to secure a role working with cutting edge technology while maintaining exceptional work-life balance. Contact removed) or on (phone number removed). Data Science, Consulting, Consultancy, CI/CD, Engineering, Data, ML, Machine Learning, AI, IaC
Position: Technician - Rotating Shifts - 12 Months Fixed Term Contract Location: Eynsham, Oxford-UK Join us in pioneering breakthroughs in healthcare. For everyone. Everywhere. Sustainably. Our inspiring and caring environment forms a global community that celebrates diversity and individuality. We encourage you to step beyond your comfort zone, offering resources and flexibility to foster your professional and personal growth, all while valuing your unique contributions. Siemens Healthineers MR Magnet Technology is the world's leading designer and manufacturer of superconducting magnets for magnetic resonance imaging - over a third of MRI scanners installed worldwide have at their heart a magnet manufactured in our Eynsham factory. The business has been awarded several Queen's Awards for export success, two Best Factory Awards and an IMechE Manufacturing Excellence Award, and is justifiably proud of its engineering and manufacturing heritage. Do you want to join us in helping to fight the world's most threatening diseases and enabling access to care for more people around the world? At Siemens Healthineers, we pioneer breakthroughs in healthcare. For everyone. Everywhere. Sustainably Role To produce a high quality product at the right time from within the Manufacturing Cell, following specific work instructions and processes. Areas of responsibility - Be responsible for your own Health & Safety, work in a safe manner and adhere to the Company Health & Safety Policy. - Actively contribute to Health & Safety improvements and culture. - Complete the manufacturing processes to specification within the standard times. - Continually work to reduce the cost of poor quality within the Manufacturing Cell. - Accurately populate and complete all Device History Records and E-Logs. - Adopt the business behaviours and work within the standards required. - Actively contribute to problem-solving, maintain the 5S culture and adopt TPM, within the Manufacturing Cell. - Actively contribute to the productivity scheme and Lean Improvement Projects. - Proactively work with the Process Engineering Team and other Cell members to resolve issues. Your Capabilities - You'll have experience in a manufacturing environment and be self-motivated to meet daily targets. -Demonstrate a good mechanical or electrical aptitude, with a good understanding of engineering and craft processes. -Minimum of GCSE grade C or equivalent in English, Maths and Sciences, evidence of qualifications in Lean or 6 Sigma application desirable -Good Leadership, interpersonal communication and problem-solving skills -Knowledge of Microsoft Office Applications (Word, Excel and PowerPoint) required. Here is link to a 4-minute video of our existing site in Eynsham, near Oxford (url removed) To find out more about the specific business, have a look at Magnetic Resonance Imaging url removed Who we are: We are a team of more than 71,000 highly dedicated Healthineers in more than 70 countries. As a leader in medical technology, we constantly push the boundaries to create better outcomes and experiences for patients, no matter where they live or what health issues they are facing. Our portfolio is crucial for clinical decision-making and treatment pathways. How we work: When you join Siemens Healthineers, you become one in a global team of scientists, clinicians, developers, researchers, professionals, and skilled specialists, who believe in each individual's potential to contribute with diverse ideas. We are from different backgrounds, cultures, religions, political and/or sexual orientations, and work together, to fight the world's most threatening diseases and enable access to care, united by one purpose: to pioneer breakthroughs in healthcare. For everyone. Everywhere. Sustainably. Check our Careers Site at Siemens Healthineers - Oxford url removed As an equal opportunity employer, we welcome applications from individuals with disabilities. We care about your data privacy and take compliance with GDPR as well as other data protection legislation seriously. For this reason, we ask you not to send us your CV or resume by email. Please create a profile within our talent community and subscribe to personalized job alert that will keep you posted about new opportunities. To all recruitment agencies: Siemens Healthineers' recruitment is internally managed, with external support permitted only when a qualified supplier has established a formal contract with us. Unsolicited candidate submissions and referrals, absent a current supplier contract, do not establish consent and are ineligible for fees. We delete and destroy unsolicited information, thus, would recommend you refrain from any such practices. Your adherence to our policies is appreciated.
Jan 22, 2025
Full time
Position: Technician - Rotating Shifts - 12 Months Fixed Term Contract Location: Eynsham, Oxford-UK Join us in pioneering breakthroughs in healthcare. For everyone. Everywhere. Sustainably. Our inspiring and caring environment forms a global community that celebrates diversity and individuality. We encourage you to step beyond your comfort zone, offering resources and flexibility to foster your professional and personal growth, all while valuing your unique contributions. Siemens Healthineers MR Magnet Technology is the world's leading designer and manufacturer of superconducting magnets for magnetic resonance imaging - over a third of MRI scanners installed worldwide have at their heart a magnet manufactured in our Eynsham factory. The business has been awarded several Queen's Awards for export success, two Best Factory Awards and an IMechE Manufacturing Excellence Award, and is justifiably proud of its engineering and manufacturing heritage. Do you want to join us in helping to fight the world's most threatening diseases and enabling access to care for more people around the world? At Siemens Healthineers, we pioneer breakthroughs in healthcare. For everyone. Everywhere. Sustainably Role To produce a high quality product at the right time from within the Manufacturing Cell, following specific work instructions and processes. Areas of responsibility - Be responsible for your own Health & Safety, work in a safe manner and adhere to the Company Health & Safety Policy. - Actively contribute to Health & Safety improvements and culture. - Complete the manufacturing processes to specification within the standard times. - Continually work to reduce the cost of poor quality within the Manufacturing Cell. - Accurately populate and complete all Device History Records and E-Logs. - Adopt the business behaviours and work within the standards required. - Actively contribute to problem-solving, maintain the 5S culture and adopt TPM, within the Manufacturing Cell. - Actively contribute to the productivity scheme and Lean Improvement Projects. - Proactively work with the Process Engineering Team and other Cell members to resolve issues. Your Capabilities - You'll have experience in a manufacturing environment and be self-motivated to meet daily targets. -Demonstrate a good mechanical or electrical aptitude, with a good understanding of engineering and craft processes. -Minimum of GCSE grade C or equivalent in English, Maths and Sciences, evidence of qualifications in Lean or 6 Sigma application desirable -Good Leadership, interpersonal communication and problem-solving skills -Knowledge of Microsoft Office Applications (Word, Excel and PowerPoint) required. Here is link to a 4-minute video of our existing site in Eynsham, near Oxford (url removed) To find out more about the specific business, have a look at Magnetic Resonance Imaging url removed Who we are: We are a team of more than 71,000 highly dedicated Healthineers in more than 70 countries. As a leader in medical technology, we constantly push the boundaries to create better outcomes and experiences for patients, no matter where they live or what health issues they are facing. Our portfolio is crucial for clinical decision-making and treatment pathways. How we work: When you join Siemens Healthineers, you become one in a global team of scientists, clinicians, developers, researchers, professionals, and skilled specialists, who believe in each individual's potential to contribute with diverse ideas. We are from different backgrounds, cultures, religions, political and/or sexual orientations, and work together, to fight the world's most threatening diseases and enable access to care, united by one purpose: to pioneer breakthroughs in healthcare. For everyone. Everywhere. Sustainably. Check our Careers Site at Siemens Healthineers - Oxford url removed As an equal opportunity employer, we welcome applications from individuals with disabilities. We care about your data privacy and take compliance with GDPR as well as other data protection legislation seriously. For this reason, we ask you not to send us your CV or resume by email. Please create a profile within our talent community and subscribe to personalized job alert that will keep you posted about new opportunities. To all recruitment agencies: Siemens Healthineers' recruitment is internally managed, with external support permitted only when a qualified supplier has established a formal contract with us. Unsolicited candidate submissions and referrals, absent a current supplier contract, do not establish consent and are ineligible for fees. We delete and destroy unsolicited information, thus, would recommend you refrain from any such practices. Your adherence to our policies is appreciated.
Assembly Technician - Weekend shift (FTC) Siemens Healthineers Magnet Technology has an exciting opportunity for Manufacturing Technicians to join our established site in Eynsham, Oxford, and our soon-to-open, state-of-the-art Industry 4.0 production facility in Bicester, Oxfordshire. If you are conscientious, responsible, hardworking, and have an aptitude for production work with a passion for healthcare, we want to hear from you! Siemens Healthineers is a global leader in a rapidly growing market and is expanding its manufacturing capability in Bicester by 2026. We are looking for Manufacturing Technicians to join our Weekend shifts. These roles are offered on an initial 12-month FTC Role & Responsibilities: As a flexible Manufacturing Technician, you will be responsible for ensuring that superconducting magnets are manufactured to a high standard. Following health and safety standards. Maintaining a clean workstation in line with our 5S principles. Assembling products and parts following production instructions and specifications. Operating machinery and production line equipment (training provided) Meeting production targets. Reporting any issues to the supervisor on duty. Performing other tasks as assigned S kills and Attributes: Strong attention to detail and commitment to producing high-quality work. Ability to follow detailed production instructions and specifications accurately. Adaptability and willingness to learn Team player with effective communication skills to report issues and collaborate with supervisors. Why Siemens Healthineers? We offer excellent benefits, including 26 days holiday + Bank Holidays (with the option to buy/sell more) , annual bonus, BUPA, up to 10% employer pension contribution , onsite gym, subsidized restaurant, share scheme, and free onsite parking. Be part of a team that is pushing boundaries in healthcare innovation . Our projects impact lives globally, from diagnostics and image-guided therapy to cancer care and advanced manufacturing technologies. Our culture: At Siemens Healthineers, we pioneer breakthroughs in healthcare. For everyone. Everywhere. Sustainabily We are an inclusive and diverse global team of over 71,000 employees across 70+ countries . Together, we are passionate about improving lives through innovation and collaboration. If this sounds like the opportunity you've been waiting for, join us and help shape the future of healthcare manufacturing! How we work: When you join Siemens Healthineers, you become one in a global team of scientists, clinicians, developers, researchers, professionals, and skilled specialists, who believe in each individual's potential to contribute with diverse ideas. We are from different backgrounds, cultures, religions, political and/or sexual orientations, and work together, to fight the world's most threatening diseases and enable access to care, united by one purpose: to pioneer breakthroughs in healthcare. For everyone. Everywhere. Sustainably. Check our Careers Site at Siemens Healthineers - Oxford url removed As an equal opportunity employer, we welcome applications from individuals with disabilities. We care about your data privacy and take compliance with GDPR as well as other data protection legislation seriously. For this reason, we ask you not to send us your CV or resume by email. Please create a profile within our talent community and subscribe to personalized job alert that will keep you posted about new opportunities. To all recruitment agencies: Siemens Healthineers' recruitment is internally managed, with external support permitted only when a qualified supplier has established a formal contract with us. Unsolicited candidate submissions and referrals, absent a current supplier contract, do not establish consent and are ineligible for fees. We delete and destroy unsolicited information, thus, would recommend you refrain from any such practices. Your adherence to our policies is appreciated.
Jan 22, 2025
Full time
Assembly Technician - Weekend shift (FTC) Siemens Healthineers Magnet Technology has an exciting opportunity for Manufacturing Technicians to join our established site in Eynsham, Oxford, and our soon-to-open, state-of-the-art Industry 4.0 production facility in Bicester, Oxfordshire. If you are conscientious, responsible, hardworking, and have an aptitude for production work with a passion for healthcare, we want to hear from you! Siemens Healthineers is a global leader in a rapidly growing market and is expanding its manufacturing capability in Bicester by 2026. We are looking for Manufacturing Technicians to join our Weekend shifts. These roles are offered on an initial 12-month FTC Role & Responsibilities: As a flexible Manufacturing Technician, you will be responsible for ensuring that superconducting magnets are manufactured to a high standard. Following health and safety standards. Maintaining a clean workstation in line with our 5S principles. Assembling products and parts following production instructions and specifications. Operating machinery and production line equipment (training provided) Meeting production targets. Reporting any issues to the supervisor on duty. Performing other tasks as assigned S kills and Attributes: Strong attention to detail and commitment to producing high-quality work. Ability to follow detailed production instructions and specifications accurately. Adaptability and willingness to learn Team player with effective communication skills to report issues and collaborate with supervisors. Why Siemens Healthineers? We offer excellent benefits, including 26 days holiday + Bank Holidays (with the option to buy/sell more) , annual bonus, BUPA, up to 10% employer pension contribution , onsite gym, subsidized restaurant, share scheme, and free onsite parking. Be part of a team that is pushing boundaries in healthcare innovation . Our projects impact lives globally, from diagnostics and image-guided therapy to cancer care and advanced manufacturing technologies. Our culture: At Siemens Healthineers, we pioneer breakthroughs in healthcare. For everyone. Everywhere. Sustainabily We are an inclusive and diverse global team of over 71,000 employees across 70+ countries . Together, we are passionate about improving lives through innovation and collaboration. If this sounds like the opportunity you've been waiting for, join us and help shape the future of healthcare manufacturing! How we work: When you join Siemens Healthineers, you become one in a global team of scientists, clinicians, developers, researchers, professionals, and skilled specialists, who believe in each individual's potential to contribute with diverse ideas. We are from different backgrounds, cultures, religions, political and/or sexual orientations, and work together, to fight the world's most threatening diseases and enable access to care, united by one purpose: to pioneer breakthroughs in healthcare. For everyone. Everywhere. Sustainably. Check our Careers Site at Siemens Healthineers - Oxford url removed As an equal opportunity employer, we welcome applications from individuals with disabilities. We care about your data privacy and take compliance with GDPR as well as other data protection legislation seriously. For this reason, we ask you not to send us your CV or resume by email. Please create a profile within our talent community and subscribe to personalized job alert that will keep you posted about new opportunities. To all recruitment agencies: Siemens Healthineers' recruitment is internally managed, with external support permitted only when a qualified supplier has established a formal contract with us. Unsolicited candidate submissions and referrals, absent a current supplier contract, do not establish consent and are ineligible for fees. We delete and destroy unsolicited information, thus, would recommend you refrain from any such practices. Your adherence to our policies is appreciated.
Our Team The Data team is a cross-functional team of experienced and passionate data enthusiasts. We use and own modern data tools (Fivetran, Snowflake, dbt, Looker) and cover a diverse range of data problems and stakeholders. What we're offering you: Flexible hours and summer hours Competitive holiday benefits (25 days a year paid holiday, plus 8 bank holidays) Work from anywhere for 2 weeks a year Life Assurance to protect your loved ones Benefits allowance for health, dental, and vision coverage Defined Contribution Pension and Salary Sacrifice Scheme Be Well: Our award-winning wellbeing and mental health programme to support all MVFers and their families Family Forward support for our MVF parents and their mini-mes Free breakfast when in the office The Role MVF is seeking an exceptionally skilled and driven Data Scientist to deliver upon our plans for growth. This is a hybrid-role across Data Science and ML Engineering: we would like someone with either a background in machine learning engineering, but a desire to learn and grow in creating data science products or vice versa. You will be pivotal in building our Data Science and Machine Learning capabilities in order to hit our strategic goals. These are the problem spaces in our backlog: Recommendation systems - predicting cross-sell opportunities Imbalanced classification - predicting the value of leads Optimisation (e.g., Linear programming) - optimising which leads / products we sell to which client Forecasting - predicting client demand Experimentation You will be communicative, commercially-minded, with a strong team-spirit. You will enjoy collaborating with stakeholders, as you will be delivering value across the business, from Paid Marketing to Operations and Sales. Reporting to the Head of Data, you will collaborate closely with a Senior Data Scientist to deliver upon our roadmap. You will have support from Analytics Engineering teams to build and maintain pipelines and from Software Engineering teams to productionize models. The ideal candidate will relish the opportunity to understand their stakeholders more deeply and define where they think they (and Data Science) can add the most value. With support, they will be excited to build data science models from inception to production. Responsibilities: Build and manage a Machine Learning Platform by selecting and integrating tools that complement the existing data ecosystem (AWS, Snowflake) Productionise ML models, ensuring that they are running scalably, efficiently and robustly Develop Data Science/Machine Learning products addressing key business needs in accordance with ML best practices What Success Looks Like: Building effective and efficient Data Science models that deliver measurable business value Ensuring Machine Learning is executed using best-in-class tools, techniques, and approaches within budget and time constraints Ensuring exceptional data integrity and quality across all projects Develop ML monitoring and observability pipeline for deployed models Our Ideal MVF'er: 3+ years of experience in a dedicated Data Science/Machine Learning role; additional data or commercial experience is a plus Strong understanding of mathematical background, focusing on statistics and linear algebra Highly proficient in Python (Pandas, Scikit-Learn, PyTorch, PySpark) and SQL Experience with Snowflake (function & procedure) and Snowpark is a plus Experience with unit and integration tests Strong understanding of machine learning algorithms and best practices Vision for MLOps best practices, particularly regarding version control, Docker, MLFlow, CI/CD Strong communication skills, with the ability to engage effectively with diverse stakeholders Good commercial understanding; knowledge of marketing operations is a bonus
Jan 22, 2025
Full time
Our Team The Data team is a cross-functional team of experienced and passionate data enthusiasts. We use and own modern data tools (Fivetran, Snowflake, dbt, Looker) and cover a diverse range of data problems and stakeholders. What we're offering you: Flexible hours and summer hours Competitive holiday benefits (25 days a year paid holiday, plus 8 bank holidays) Work from anywhere for 2 weeks a year Life Assurance to protect your loved ones Benefits allowance for health, dental, and vision coverage Defined Contribution Pension and Salary Sacrifice Scheme Be Well: Our award-winning wellbeing and mental health programme to support all MVFers and their families Family Forward support for our MVF parents and their mini-mes Free breakfast when in the office The Role MVF is seeking an exceptionally skilled and driven Data Scientist to deliver upon our plans for growth. This is a hybrid-role across Data Science and ML Engineering: we would like someone with either a background in machine learning engineering, but a desire to learn and grow in creating data science products or vice versa. You will be pivotal in building our Data Science and Machine Learning capabilities in order to hit our strategic goals. These are the problem spaces in our backlog: Recommendation systems - predicting cross-sell opportunities Imbalanced classification - predicting the value of leads Optimisation (e.g., Linear programming) - optimising which leads / products we sell to which client Forecasting - predicting client demand Experimentation You will be communicative, commercially-minded, with a strong team-spirit. You will enjoy collaborating with stakeholders, as you will be delivering value across the business, from Paid Marketing to Operations and Sales. Reporting to the Head of Data, you will collaborate closely with a Senior Data Scientist to deliver upon our roadmap. You will have support from Analytics Engineering teams to build and maintain pipelines and from Software Engineering teams to productionize models. The ideal candidate will relish the opportunity to understand their stakeholders more deeply and define where they think they (and Data Science) can add the most value. With support, they will be excited to build data science models from inception to production. Responsibilities: Build and manage a Machine Learning Platform by selecting and integrating tools that complement the existing data ecosystem (AWS, Snowflake) Productionise ML models, ensuring that they are running scalably, efficiently and robustly Develop Data Science/Machine Learning products addressing key business needs in accordance with ML best practices What Success Looks Like: Building effective and efficient Data Science models that deliver measurable business value Ensuring Machine Learning is executed using best-in-class tools, techniques, and approaches within budget and time constraints Ensuring exceptional data integrity and quality across all projects Develop ML monitoring and observability pipeline for deployed models Our Ideal MVF'er: 3+ years of experience in a dedicated Data Science/Machine Learning role; additional data or commercial experience is a plus Strong understanding of mathematical background, focusing on statistics and linear algebra Highly proficient in Python (Pandas, Scikit-Learn, PyTorch, PySpark) and SQL Experience with Snowflake (function & procedure) and Snowpark is a plus Experience with unit and integration tests Strong understanding of machine learning algorithms and best practices Vision for MLOps best practices, particularly regarding version control, Docker, MLFlow, CI/CD Strong communication skills, with the ability to engage effectively with diverse stakeholders Good commercial understanding; knowledge of marketing operations is a bonus
Your work will change lives. Including your own. The Impact You'll Make Recursion is a pioneering TechBio company that leverages AI and machine learning to decode biology and accelerate drug discovery, with data as a key differentiator and value driver. We are seeking a Senior AI/HPC Storage Engineer to join our innovative team. In this role, you will be instrumental in designing, implementing, and managing advanced AI/HPC data systems that propel our groundbreaking drug discovery research. You will leverage your expertise in infrastructure solutions for Science to ensure the performance, scalability, and reliability of our storage systems. Your work will involve creating and maintaining robust infrastructure, automating processes, and optimizing storage systems to handle massive amounts of data and complex computational workloads, while ensuring high data integrity. In this role: You will be responsible for designing, implementing, testing, maintaining, and optimizing our data storage infrastructure and services, utilizing an Infrastructure as Code approach across both on-premises and public cloud environments. Your leadership and technical expertise will be key in driving innovation across all storage tiers within our AI/HPC infrastructure, ensuring we deliver a scalable and effective data platform to support our mission. By developing scripts and workflows, you will automate and verify storage infrastructure provisioning and dynamic reconfiguration, enhancing support for our AI/HPC storage environments. Your meticulous attention to detail will be crucial for performance analysis, benchmarking, troubleshooting and fine-tuning of our data storage systems and services, while efficiently managing user tickets. Your role also includes researching, deploying, and optimizing accessibility, performance, security, and data lifecycle management policies. Regular assessments of our storage platforms' health and operational performance against established metrics will be part of your responsibilities, with a focus on meeting and exceeding operational service level objectives. Finally, as a lead in technical communication and customer collaboration, your efforts will ensure high levels of customer satisfaction. This role presents a unique opportunity to make a meaningful impact within our organization and the broader scientific community. Location: This position is based at our headquarters in Salt Lake City, Utah, or in our offices in Toronto, Canada, or London, United Kingdom. We may also consider a hybrid working arrangement. We ask that hybrid employees commit to regular on-site visits for routine work and departmental events. The Team You'll Join As a Senior AI/HPC Storage Engineer, you will be a part of our dedicated HPC Engineering and Operations team, reporting directly to the Director. This dynamic team includes 3 experienced Engineers, and with the addition of this role, you'll be part of an empowered, cross-functional unit. Our HPC team works in a fast-paced, collaborative environment, handling a broad spectrum of Scientific Infrastructure projects. These range from developing advanced, scalable infrastructure to deploying and managing AI/HPC resources and automating operational processes. The team also plays a crucial role in the curation of our vast data platform, which caters to a diverse set of professionals, including biologists, data scientists, and automation engineers. We're home to BioHive, the industry's most powerful supercomputer and our HPC team is constantly pushing the boundaries in the field of supercomputing in the TechBio industry. As part of this team, you will collaborate on projects that streamline and optimize our machine learning workflows and scientific computing tasks, driving efficient and transformative solutions. This is a unique opportunity to join a team that thrives on innovation, collaboration, and inclusivity in a role that is pivotal to our mission. The Experience You'll Need A minimum of 7 years of experience in managing data storage infrastructure, preferably within global BioPharma organizations. In-depth knowledge of distributed/parallel file systems (IBM Storage Scale GPFS), multi-tier file (NAS), hybrid object storage (MinIO), and storage access and data transfer networking protocols. Experience with RDMA-capable high-speed networking. Extensive experience designing, deploying, testing, supporting, and troubleshooting complex Linux-based computing and data storage environments. Python programming and Bash scripting experience. In-depth hands-on experience in provisioning, configuring, and managing infrastructure through modern CI/CD techniques, GitOps, Infrastructure as Code (IaC) and cloud automation principles. Solid experience with software-defined infrastructure and cloud computing platforms, including Kubernetes, GCP, AWS, and others. Practical knowledge of resource management and job scheduling using Slurm and Kubernetes. Knowledge of container technologies like Apptainer and Docker. Strong verbal and written communication skills for effective documentation and collaboration. Prior experience mentoring, guiding, and cross-training team members. How You'll be Supported At Recursion, we're working to solve some of the most meaningful challenges in human health. During onboarding, you'll be introduced to the Recursion Mindset and Recursion OS through a blend of in-person and online resources designed to help you quickly embrace our culture. You'll be paired with an onboarding "Trail Guide" to support you in your first months and connect with colleagues, both in person and remotely, who will guide you through the traditional and Recursion-specific aspects of your role. Additionally, you'll join onboarding events, like Decoding Recursion, to deepen your understanding and integration into the team. The Values That We Hope You Share: We Care: We care about our drug candidates, our Recursionauts, their families, each other, our communities, the patients we aim to serve and their loved ones. We also care about our work. We Learn: Learning from the diverse perspectives of our fellow Recursionauts, and from failure, is an essential part of how we make progress. We Deliver: We are unapologetic that our expectations for delivery are extraordinarily high. There is urgency to our existence: we sprint at maximum engagement, making time and space to recover. Act Boldly with Integrity: No company changes the world or reinvents an industry without being bold. It must be balanced; not by timidity, but by doing the right thing even when no one is looking. We are One Recursion: We operate with a 'company first, team second' mentality. Our success comes from working as one interdisciplinary team. Recursion spends time and energy connecting every aspect of work to these values. They aren't static, but regularly discussed and questioned because we make decisions rooted in those values in our day-to-day work. More About Recursion Recursion is a clinical stage TechBio company leading the space by decoding biology to industrialize drug discovery. Enabling its mission is the Recursion OS, a platform built across diverse technologies that continuously expands one of the world's largest proprietary biological and chemical datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale - up to millions of wet lab experiments weekly - and massive computational scale - owning and operating one of the most powerful supercomputers in the world, Recursion is uniting technology, biology and chemistry to advance the future of medicine.
Jan 22, 2025
Full time
Your work will change lives. Including your own. The Impact You'll Make Recursion is a pioneering TechBio company that leverages AI and machine learning to decode biology and accelerate drug discovery, with data as a key differentiator and value driver. We are seeking a Senior AI/HPC Storage Engineer to join our innovative team. In this role, you will be instrumental in designing, implementing, and managing advanced AI/HPC data systems that propel our groundbreaking drug discovery research. You will leverage your expertise in infrastructure solutions for Science to ensure the performance, scalability, and reliability of our storage systems. Your work will involve creating and maintaining robust infrastructure, automating processes, and optimizing storage systems to handle massive amounts of data and complex computational workloads, while ensuring high data integrity. In this role: You will be responsible for designing, implementing, testing, maintaining, and optimizing our data storage infrastructure and services, utilizing an Infrastructure as Code approach across both on-premises and public cloud environments. Your leadership and technical expertise will be key in driving innovation across all storage tiers within our AI/HPC infrastructure, ensuring we deliver a scalable and effective data platform to support our mission. By developing scripts and workflows, you will automate and verify storage infrastructure provisioning and dynamic reconfiguration, enhancing support for our AI/HPC storage environments. Your meticulous attention to detail will be crucial for performance analysis, benchmarking, troubleshooting and fine-tuning of our data storage systems and services, while efficiently managing user tickets. Your role also includes researching, deploying, and optimizing accessibility, performance, security, and data lifecycle management policies. Regular assessments of our storage platforms' health and operational performance against established metrics will be part of your responsibilities, with a focus on meeting and exceeding operational service level objectives. Finally, as a lead in technical communication and customer collaboration, your efforts will ensure high levels of customer satisfaction. This role presents a unique opportunity to make a meaningful impact within our organization and the broader scientific community. Location: This position is based at our headquarters in Salt Lake City, Utah, or in our offices in Toronto, Canada, or London, United Kingdom. We may also consider a hybrid working arrangement. We ask that hybrid employees commit to regular on-site visits for routine work and departmental events. The Team You'll Join As a Senior AI/HPC Storage Engineer, you will be a part of our dedicated HPC Engineering and Operations team, reporting directly to the Director. This dynamic team includes 3 experienced Engineers, and with the addition of this role, you'll be part of an empowered, cross-functional unit. Our HPC team works in a fast-paced, collaborative environment, handling a broad spectrum of Scientific Infrastructure projects. These range from developing advanced, scalable infrastructure to deploying and managing AI/HPC resources and automating operational processes. The team also plays a crucial role in the curation of our vast data platform, which caters to a diverse set of professionals, including biologists, data scientists, and automation engineers. We're home to BioHive, the industry's most powerful supercomputer and our HPC team is constantly pushing the boundaries in the field of supercomputing in the TechBio industry. As part of this team, you will collaborate on projects that streamline and optimize our machine learning workflows and scientific computing tasks, driving efficient and transformative solutions. This is a unique opportunity to join a team that thrives on innovation, collaboration, and inclusivity in a role that is pivotal to our mission. The Experience You'll Need A minimum of 7 years of experience in managing data storage infrastructure, preferably within global BioPharma organizations. In-depth knowledge of distributed/parallel file systems (IBM Storage Scale GPFS), multi-tier file (NAS), hybrid object storage (MinIO), and storage access and data transfer networking protocols. Experience with RDMA-capable high-speed networking. Extensive experience designing, deploying, testing, supporting, and troubleshooting complex Linux-based computing and data storage environments. Python programming and Bash scripting experience. In-depth hands-on experience in provisioning, configuring, and managing infrastructure through modern CI/CD techniques, GitOps, Infrastructure as Code (IaC) and cloud automation principles. Solid experience with software-defined infrastructure and cloud computing platforms, including Kubernetes, GCP, AWS, and others. Practical knowledge of resource management and job scheduling using Slurm and Kubernetes. Knowledge of container technologies like Apptainer and Docker. Strong verbal and written communication skills for effective documentation and collaboration. Prior experience mentoring, guiding, and cross-training team members. How You'll be Supported At Recursion, we're working to solve some of the most meaningful challenges in human health. During onboarding, you'll be introduced to the Recursion Mindset and Recursion OS through a blend of in-person and online resources designed to help you quickly embrace our culture. You'll be paired with an onboarding "Trail Guide" to support you in your first months and connect with colleagues, both in person and remotely, who will guide you through the traditional and Recursion-specific aspects of your role. Additionally, you'll join onboarding events, like Decoding Recursion, to deepen your understanding and integration into the team. The Values That We Hope You Share: We Care: We care about our drug candidates, our Recursionauts, their families, each other, our communities, the patients we aim to serve and their loved ones. We also care about our work. We Learn: Learning from the diverse perspectives of our fellow Recursionauts, and from failure, is an essential part of how we make progress. We Deliver: We are unapologetic that our expectations for delivery are extraordinarily high. There is urgency to our existence: we sprint at maximum engagement, making time and space to recover. Act Boldly with Integrity: No company changes the world or reinvents an industry without being bold. It must be balanced; not by timidity, but by doing the right thing even when no one is looking. We are One Recursion: We operate with a 'company first, team second' mentality. Our success comes from working as one interdisciplinary team. Recursion spends time and energy connecting every aspect of work to these values. They aren't static, but regularly discussed and questioned because we make decisions rooted in those values in our day-to-day work. More About Recursion Recursion is a clinical stage TechBio company leading the space by decoding biology to industrialize drug discovery. Enabling its mission is the Recursion OS, a platform built across diverse technologies that continuously expands one of the world's largest proprietary biological and chemical datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale - up to millions of wet lab experiments weekly - and massive computational scale - owning and operating one of the most powerful supercomputers in the world, Recursion is uniting technology, biology and chemistry to advance the future of medicine.
EveryMatrix is a leading B2B SaaS provider delivering iGaming software, content and services. We provide casino, sports betting, platform and payments, and affiliate management to 200 customers worldwide. But that's not all! We're not just about numbers, we're about people. With a team of over 1000 passionate individuals spread across twelve countries in Europe, Asia, and the US, we're all united by our love for innovation and teamwork. Join us on this exciting journey as we continue to redefine the iGaming landscape, one groundbreaking solution at a time. We are looking for an Experienced CRM Data Scientist to join our team in London! Salary Range: £60,000 - £70,000 annually, based on experience and qualifications. About the job: We are seeking a highly skilled Data Scientist with expertise in CRM and customer behavior analysis to join our newly founded CRM Data Science team. You will play a crucial role in analyzing customer behavior on our gambling platforms, providing insights and building features that will drive our business strategies and enhance customer engagement. We are building a new real-time CRM platform, and this is a great chance to have a profound impact on the project. Key Responsibilities: Analyze large datasets to uncover patterns and insights related to customer behavior. Develop predictive models to forecast customer activities and trends. Collaborate with cross-functional teams to implement data-driven strategies. Define and track key performance indicators (KPIs). Utilize machine learning techniques to optimize CRM strategies, especially related to automated campaign optimization. Communicate findings and recommendations to stakeholders in a clear and concise manner. Requirements: Master's or PhD degree in a quantitative field. Proven experience of large-scale data analysis and hypothesis testing. Strong proficiency in statistical analysis and predictive modeling. Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse / data.table), along with SQL. Excellent problem-solving skills and attention to detail. Strong communication skills with the ability to present complex data insights to non-technical stakeholders. Willingness to take ownership of analytics projects and drive them from ideation phase to product delivery. What will make you stand out: Experience working in an analytics role in the gambling industry. Experience with CRM data analysis and customer segmentation. Knowledge of TensorFlow / PyTorch. Expertise in using data visualization tools such as Google Looker and working with Google's BigQuery. Experience in design and evaluation of A/B tests. Familiarity with Bayesian statistics, especially for hypothesis testing. Experience with application of optimization theory or reinforcement learning based on automated A/B testing. Projects you might expect to work on: Predicting future expected value and future potential value of individual customers. Real-time prediction of customer churn. Building multi-level customer segmentation driven by predictive models. Here's what we offer: 25 days of annual leave. 5 days of sick leave. Access to learning resources (Udemy, LinkedIn, O'Reilly). At EveryMatrix, we're committed to creating a supportive and inclusive workplace where you can thrive both personally and professionally. Come join us and experience the difference!
Jan 22, 2025
Full time
EveryMatrix is a leading B2B SaaS provider delivering iGaming software, content and services. We provide casino, sports betting, platform and payments, and affiliate management to 200 customers worldwide. But that's not all! We're not just about numbers, we're about people. With a team of over 1000 passionate individuals spread across twelve countries in Europe, Asia, and the US, we're all united by our love for innovation and teamwork. Join us on this exciting journey as we continue to redefine the iGaming landscape, one groundbreaking solution at a time. We are looking for an Experienced CRM Data Scientist to join our team in London! Salary Range: £60,000 - £70,000 annually, based on experience and qualifications. About the job: We are seeking a highly skilled Data Scientist with expertise in CRM and customer behavior analysis to join our newly founded CRM Data Science team. You will play a crucial role in analyzing customer behavior on our gambling platforms, providing insights and building features that will drive our business strategies and enhance customer engagement. We are building a new real-time CRM platform, and this is a great chance to have a profound impact on the project. Key Responsibilities: Analyze large datasets to uncover patterns and insights related to customer behavior. Develop predictive models to forecast customer activities and trends. Collaborate with cross-functional teams to implement data-driven strategies. Define and track key performance indicators (KPIs). Utilize machine learning techniques to optimize CRM strategies, especially related to automated campaign optimization. Communicate findings and recommendations to stakeholders in a clear and concise manner. Requirements: Master's or PhD degree in a quantitative field. Proven experience of large-scale data analysis and hypothesis testing. Strong proficiency in statistical analysis and predictive modeling. Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse / data.table), along with SQL. Excellent problem-solving skills and attention to detail. Strong communication skills with the ability to present complex data insights to non-technical stakeholders. Willingness to take ownership of analytics projects and drive them from ideation phase to product delivery. What will make you stand out: Experience working in an analytics role in the gambling industry. Experience with CRM data analysis and customer segmentation. Knowledge of TensorFlow / PyTorch. Expertise in using data visualization tools such as Google Looker and working with Google's BigQuery. Experience in design and evaluation of A/B tests. Familiarity with Bayesian statistics, especially for hypothesis testing. Experience with application of optimization theory or reinforcement learning based on automated A/B testing. Projects you might expect to work on: Predicting future expected value and future potential value of individual customers. Real-time prediction of customer churn. Building multi-level customer segmentation driven by predictive models. Here's what we offer: 25 days of annual leave. 5 days of sick leave. Access to learning resources (Udemy, LinkedIn, O'Reilly). At EveryMatrix, we're committed to creating a supportive and inclusive workplace where you can thrive both personally and professionally. Come join us and experience the difference!
